diff --git a/.DS_Store b/.DS_Store
index 36521a91e7d..b4517fa8d6d 100644
Binary files a/.DS_Store and b/.DS_Store differ
diff --git a/Gemfile.lock b/Gemfile.lock
index ac93b09426b..33513c67f71 100644
--- a/Gemfile.lock
+++ b/Gemfile.lock
@@ -1,39 +1,70 @@
GEM
remote: https://rubygems.org/
specs:
- colorator (0.1)
- ffi (1.9.24)
- jekyll (3.1.2)
- colorator (~> 0.1)
- jekyll-sass-converter (~> 1.0)
- jekyll-watch (~> 1.1)
- kramdown (~> 1.3)
- liquid (~> 3.0)
- mercenary (~> 0.3.3)
- rouge (~> 1.7)
+ addressable (2.8.5)
+ public_suffix (>= 2.0.2, < 6.0)
+ colorator (1.1.0)
+ concurrent-ruby (1.2.2)
+ em-websocket (0.5.3)
+ eventmachine (>= 0.12.9)
+ http_parser.rb (~> 0)
+ eventmachine (1.2.7)
+ ffi (1.16.3)
+ forwardable-extended (2.6.0)
+ google-protobuf (3.24.4)
+ http_parser.rb (0.8.0)
+ i18n (1.14.1)
+ concurrent-ruby (~> 1.0)
+ jekyll (4.3.2)
+ addressable (~> 2.4)
+ colorator (~> 1.0)
+ em-websocket (~> 0.5)
+ i18n (~> 1.0)
+ jekyll-sass-converter (>= 2.0, < 4.0)
+ jekyll-watch (~> 2.0)
+ kramdown (~> 2.3, >= 2.3.1)
+ kramdown-parser-gfm (~> 1.0)
+ liquid (~> 4.0)
+ mercenary (>= 0.3.6, < 0.5)
+ pathutil (~> 0.9)
+ rouge (>= 3.0, < 5.0)
safe_yaml (~> 1.0)
- jekyll-sass-converter (1.4.0)
- sass (~> 3.4)
- jekyll-watch (1.3.1)
+ terminal-table (>= 1.8, < 4.0)
+ webrick (~> 1.7)
+ jekyll-sass-converter (3.0.0)
+ sass-embedded (~> 1.54)
+ jekyll-watch (2.2.1)
listen (~> 3.0)
- kramdown (1.10.0)
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- rb-fsevent (>= 0.9.3)
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- ffi (>= 0.5.0)
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+ kramdown (2.4.0)
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PLATFORMS
ruby
DEPENDENCIES
- jekyll
+ jekyll (>= 3.6.3)
BUNDLED WITH
1.11.2
diff --git a/README.md b/README.md
index d2d0c5522fb..534993a06a6 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# METRICS Lab Website
+# LUCAS Website
-This is the website of our academic research group at King's College London.
+This is the website of our academic research group at Loughborough University.
This website is powered by Jekyll and some Bootstrap, Bootwatch. We tried to make it simple yet adaptable, so that it is easy for you to use it as a template. Plese feel free to copy and modify for your own purposes. You don't have to link to us or mention us (but of course we appreciate it).
diff --git a/_config.yml b/_config.yml
index 086abf39455..788574a4731 100644
--- a/_config.yml
+++ b/_config.yml
@@ -6,13 +6,13 @@
# 'jekyll serve'. If you change this file, please restart the server process.
# Site settings
-title: The METRICS Lab
+title: LUCAS
email:
description: > # this means to ignore newlines until "baseurl:"
- This is group website for METRICS - Machine Learning for Translational Imaging in Development and Cognition, King's College London
-baseurl: ""
-url: "https://metrics-lab.github.io"
-keywords: "METRICS, King's College, Deep learning, MRI, brain, Human Connectome Project, Developing Human Connetome Project"
+ This is group website for LUCAS - Loughborough University Center for Autonomous System, Loughborough University
+baseurl: "/lucas2023.github.io"
+url: "https://yaleiyu.github.io"
+keywords: "LUCAS, Loughborough University, Decision Making, Advanced Automation Control"
include:
- .htaccess
diff --git a/_data/alumni_members.yml b/_data/alumni_members.yml
index 5e9bfafef17..2a8d7de45dd 100644
--- a/_data/alumni_members.yml
+++ b/_data/alumni_members.yml
@@ -1,17 +1,9 @@
-- name: Dr. Cher Bass
- photo: cherbass.jpg
- info: Research Associate
- email: cher.bass(at)kcl.ac.uk
- number_educ: 2
- education1: PhD in Neurotechnology
- education2: Predicting biomarkers of cognitive function from brain magnetic resonance imaging data
- education3:
- education4:
-
-- name: Dr. Alena Uus
- photo: alena.png
- info: Research Associate
- email: alena.uus(at)kcl.ac.uk
- number_educ: 2
- education1: PhD in Information Engineering
- education2: Motion compensation and blood flow reconstruction for fetal MRI and registration for neonatal diffusion MRI
+# - name: Dr. Cher Bass
+# photo: cherbass.jpg
+# info: Research Associate
+# email: cher.bass(at)kcl.ac.uk
+# number_educ: 2
+# education1: PhD in Neurotechnology
+# education2: Predicting biomarkers of cognitive function from brain magnetic resonance imaging data
+# education3:
+# education4:
diff --git a/_data/news.yml b/_data/news.yml
index 7eeb61f3c27..240d4013e92 100644
--- a/_data/news.yml
+++ b/_data/news.yml
@@ -1,36 +1,20 @@
-- date: 04 Mar 2022
- headline: Congratulations to Simon Dahan for his MIDL acceptance! Paper on OpenReview here .
-- date: 22 Oct 2021
- headline: New post! Research associate OR research software engineer in image registration and machine learning for clinical translation of neuroimaging
-- date: 22 Oct 2021
- headline: New preprint out! Structural and functional asymmetry of the neonatal cerebral cortex by Logan Williams
-- date: 15 Oct 2021
- headline: Congratulations to Paula Ramirez-Gilliland for her award for most outstanding individual project in her MRes Healthcare Technologies cohort!
-- date: 13 Oct 2021
- headline: A massive congratulations to Simon Dahan for achieving the top overall mark in his MRes Healthcare Technologies cohort!
-- date: 27 Aug 2021
- headline: Welcome to our new PhD students Diego Fajardo, Yourong Guo and Zhenshan Xie!
-- date: 23 Aug 2021
- headline: Congratulations to Mariana da Silva for being accepted for an oral presentation at MLCN
-- date: 23 Aug 2021
- headline: Congratulations to Paula Ramirez Gilliland and Simon Dahan for completing their MRes theses!
-- date: 28. Jul 2021
- headline: Three papers from the MeTrICS lab for presentation at the MLCN workshop .
-- date: 23 Jun 2021
- headline: Congratulations to Logan Williams for first place in the PGR Symposium 3-minute thesis presentation
-- date: 30. May 2021
- headline: Congratulations to Logan Williams for his poster presentation at OHBM
-- date: 12 Apr 2021
- headline: Welcome to our new post-doc, Mohamed Suliman!
-- date: 30. Oct 2020
- headline: Congratulations to Mariana da Silva for her Medical Imaging Meets NeurIPS acceptance
-- date: 22. Oct 2020
- headline: New PhD project available. See our vacancies
-- date: 21. Oct 2020
- headline: Welcome to our new rotation student, Lauren Strickland
-- date: 12. Oct 2020
- headline: Blog series on interpretable deep learning
-- date: 01. Oct 2020
- headline: Welcome to our new students Simon Dahan, Paula Ramirez Gilliland and Helena Sousa
-- date: 26. Sept 2020
- headline: Congratulations to Cher Bass for her NeurIPS acceptance!
+- date: Feb 2022
+ headline: New post! IEEE International conference on mechatronics will be held at LU here .
+- date: Feb 2022
+ headline: Project Futuristic drones and survey robots converge on coastal farm
+- date: Jun 2021
+ headline: Project Next-generation drone technology for intelligent solar panel inspections by Logan Williams
+- date: 11 Feb 2021
+ headline: Reports Prof. Chen presents a lecture in Fellowship Inaugural Lecture series
+- date: 18 Nov 2020
+ headline: A Congradulations Tianxiang Zhang passes his PhD viva
+- date: 18 Nov 2020
+ headline: Report Prof Mark Cannon from University of Oxford gives us a talk
+- date: Nov 2019
+ headline: Congratulations Prof Chen wins the EPSRC Established Career Fellowship
+- date: 30 Oct 2018
+ headline: Congratulations Dewei Yi passes his PhD viva
+- date: 07 Oct 2018
+ headline: Congratulations Prof Chen is interviewed by the prestigious IEEE Control System Magazine
+- date: 29 Aug 2018
+ headline: Report Successful demonstration at the EPSRC/Dstl UDRC final Showcase Event
diff --git a/_data/phd_students.yml b/_data/phd_students.yml
index e1874209447..b231483f69f 100644
--- a/_data/phd_students.yml
+++ b/_data/phd_students.yml
@@ -1,143 +1,97 @@
-- name: Abdulah Fawaz
- photo: abdulah.jpg
+- name: Edward Cefai
+ photo: LUCAS_Logo.png
+ info:
+ email: e.cefai@lboro.ac.uk
+ number_educ: 2
+ education1: BA, MSc, MRes in
+ education2:
+ education3:
+ education4:
+
+- name: Tim Glover
+ photo: LUCAS_Logo.png
info: Apr 2019
- email: abdulah.fawaz(at)kcl.ac.uk
+ email: t.glover@lboro.ac.uk
number_educ: 2
- education1: BA, MSc, MRes in Quantum Physics & Quantum Computing
- education2: Geometric deep learning methods for the neonatal cortical surface
+ education1: BA, MSc, MRes in
+ education2: Geometric deep learning methods
education3:
education4:
-- name: Suryava Bhattacharya
- photo: Suryava.jpg
+- name: Zijiang Ge
+ photo: LUCAS_Logo.png
info: Oct 2019
- email: suryava.bhattacharya(at)kcl.ac.uk
+ email: z.ge@lboro.ac.uk
number_educ: 2
- education1: MEng in Biomedical Engineering
- education2: Quantitative mapping of developing fetal organs using dynamic MRI and artificial neural networks
+ education1: MEng in
+ education2:
education3:
education4:
-- name: Lindsay Munroe
- photo: Lindsay.jpg
- info: Oct 2019
- email: lindsay.munroe(at)kcl.ac.uk
+- name: Yimeng Li
+ photo: LUCAS_Logo.png
+ info:
+ email: y.li12@lboro.ac.uk
number_educ: 2
- education1: BSc Mathematics, MSc Mathematics & Theoretical Computer Science
- education2: Mining for iron in the brain - a deep learning approach
+ education1:
+ education2:
education3:
education4:
-- name: Mariana Da Silva
- photo: mariana.jpg
- info: Jan 2020
- email: mariana.da_silva(at)kcl.ac.uk
+- name: Ben Marshall
+ photo: LUCAS_Logo.png
+ info:
+ email: b.sullivan@lboro.ac.uk
number_educ: 2
- education1: BSc, MSc in Biomedical Engineering & Biophysics
- education2: Building sensitive models of cognition using interpretable deep learning
+ education1:
+ education2:
education3:
education4:
-- name: Logan Williams
- photo: Logan.jpg
- info: Mar 2020
- email: logan.williams(at)kcl.ac.uk
+- name: Ben Sullivan
+ photo: LUCAS_Logo.png
+ info:
+ email: b.sullivan@lboro.ac.uk
number_educ: 2
- education1: BSc Biomedical Science, BMedSc(Hons) Neonatal Medicine, MBChB
- education2: Multimodal cortical parcellation in the UK Biobank
+ education1:
+ education2:
education3:
education4:
-- name: Yilan Dong
- photo: Yilan.jpg
- info: Oct 2020
- email: yilan.dong(at)kcl.ac.uk
+- name: Siyang Tang
+ photo: LUCAS_Logo.png
+ info:
+ email: s.tang@lboro.ac.uk
number_educ: 2
- education1: BSc in Biomedical Engineering, MSc Healthcare Technologies
- education2: Machine learning to uncover the early origins of neurodevelopmental disorders
+ education1:
+ education2:
education3:
education4:
-- name: Hai Le
- photo: Hai.jpeg
- info: Oct 2020
- email: le.hai(at)kcl.ac.uk
+- name: Xinming Wang
+ photo: LUCAS_Logo.png
+ info:
+ email: x.wang@lboro.ac.uk
number_educ: 2
- education1: BSc Neuroscience
- education2: Characterising abnormal early brain development and links to neuropsychiatric disorders using diffusion MRI and machine learning
+ education1:
+ education2:
education3:
education4:
-- name: Simon Dahan
- photo: Simon.jpg
- info: Oct 2020
- email: simon.dahan(at)kcl.ac.uk
+- name: Yalei Yu
+ photo: LUCAS_Logo.png
+ info: Oct 2022
+ email: y.yu2@lboro.ac.uk
number_educ: 2
- education1: MEng Computer Science, MSc in Artificial Intelligence & Machine Learning
- education2: Spatiotemporal deep learning on cortical fMRI data to predict brain states for preterm infants.
+ education1: MSc in Traffic information engineering and control
+ education2: Dual control for exploitation and exploration with applications on industrial robots.
education3:
education4:
-- name: Paula Ramirez Gilliland
- photo: paularamirez.jpg
- info: Oct 2020
- email: paula.ramirez_gilliland(at)kcl.ac.uk
- number_educ: 2
- education1: MPhys Physics & Astrophysics, University of Sussex
- education2: Deep learning for diagnosis of congenital heart disease in fetus using MRI and ultrasound.
-
-- name: Zhenshan Xie
- photo: zhenshan_xie.jpg
- info: Oct 2021
- email: zhenshan.xie(at)kcl.ac.uk
- number_educ: 2
- education1: BEng Communication Engineering
- education2: Predicting Onset of Dementia through Flow-Based Generative modeling
-
-- name: Diego Fajardo Rojas
- photo: diego_fajardo.jpg
- info: Oct 2021
- email: diego.fajardo_rojas(at)kcl.ac.uk
- number_educ: 2
- education1: BSc, MSc Mathematics
- education2: Predicting preterm birth from MRI using deep learning
-
-- name: Yourong Guo
- photo: Yourong_Guo.jpg
- info: Oct 2021
- email: yourong.guo(at)kcl.ac.uk
- number_educ: 2
- education1: BEng, MEng in Biomedical Engineering
- education2: Focal cortical dysplasias detection in childhood epilepsy
-
-- name: Saga Masui
- photo: Saga_Masui.jpeg
- info: Oct 2022
- email: saga.masui(at)kcl.ac.uk
- number_educ: 2
- education1: BSc in Physics & Philosophy
- education2: Generative modelling of microstructural development of the cerebral cortex
-
-- name: Helena Sousa
- photo: hs-id.jpg
- info: Oct 2022
- email: helena.sousa(at)kcl.ac.uk
- number_educ: 2
- education1: BSc, MSc in Biomedical Engineering & Biophysics
- education2: Using deep learning to explore fetal brain development
-
-- name: Jiaxin Xiao
- photo: JiaxinXiao.jpg
- info: Oct 2022
- email: jiaxin.xiao(at)kcl.ac.uk
- number_educ: 2
- education1: BSc in Biological Sciences, MRes in Medical Imaging Sciences
- education2: Normative modeling of fetal cortical development
-
-- name: Aakash Saboo
- photo: AakashSaboo.jpg
+- name: Zheyu Zhang
+ photo: LUCAS_Logo.png
info: Oct 2022
- email: aakash.saboo(at)kcl.ac.uk
+ email: z.zhang8@lboro.ac.uk
number_educ: 2
- education1: BTech in Industrial Engineering
- education2: Deep generative models of fetal brain development
+ education1:
+ education2:
diff --git a/_data/pictures_Leiden.yml b/_data/pictures_Leiden.yml
deleted file mode 100644
index a86e9249844..00000000000
--- a/_data/pictures_Leiden.yml
+++ /dev/null
@@ -1,34 +0,0 @@
-- title: pic1_description
- image: DSC_0366.JPG
-- title: pic1_description
- image: DSC_0368.JPG
-- title: pic_description
- image: 20150918_145800.jpg
-- title: pic1_description
- image: DSC_0030.jpg
-- title: pic1_description
- image: DSC_0051.jpg
-- title: pic1_description
- image: DSC_0116.jpg
-- title: pic1_description
- image: DSC_0119.jpg
-- title: pic1_description
- image: DSC_0128.jpg
-- title: pic1_description
- image: DSC_0139.jpg
-- title: pic1_description
- image: DSC_0636.jpg
-- title: pic1_description
- image: DSC_0683.jpg
-- title: pic1_description
- image: DSC_0696.jpg
-- title: pic1_description
- image: DSC_0757.jpg
-- title: pic1_description
- image: IMG_4334.jpg
-- title: pic1_description
- image: IMG_4376.jpg
-- title: pic1_description
- image: tamagochi.jpg
-- title: pic1_description
- image: tmp2-2.jpg
diff --git a/_data/post_doc.yml b/_data/post_doc.yml
index 8dd0a7c0cb1..a6c79968394 100644
--- a/_data/post_doc.yml
+++ b/_data/post_doc.yml
@@ -1,29 +1,59 @@
-- name: Dr. Irina Grigorescu
- photo: irina1.jpg
- info: Research Assistant
- email: irina.grigorescu(at)kcl.ac.uk
+- name: Dr. Shengkai Guo
+ photo: LUCAS_Logo.png
+ info: Research Associate
+ email: s.guo2@lboro.ac.uk
number_educ: 2
- education1: PhD in Biomedical Engineering
- education2: Deep learning for motion correction of fetal MRI
- education3:
+ education1: PhD in
+ education2:
+ education3:
education4:
-- name: Dr. Mohamed Suliman
- photo: mohamed.jpg
+- name: Dr. Rohit Nanavati
+ photo: LUCAS_Logo.png
info: Research Associate
- email: mohamed.suliman(at)kcl.ac.uk
+ email: r.nanavati@lboro.ac.uk
number_educ: 2
- education1: PhD in Electrical & Electronic Engineering
- education2: Deep learning algorithms for precision registration of multimodal brain scans
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. Pramod Pashupathy
+ photo: LUCAS_Logo.png
+ info: Research Associate
+ email: p.pashupathy@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
education3:
education4:
+
+- name: Dr. Guoqiang Tan
+ photo: LUCAS_Logo.png
+ info: Research Associate
+ email: g.tan@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2: DCEE
+ education3:
+ education4:
-- name: Dr. Arnaud Boutillon
- photo: arnaud.jpg
+- name: Dr. Toa Tran
+ photo: LUCAS_Logo.png
info: Research Associate
- email: arnaud.boutillon(at)kcl.ac.uk
+ email: x.tran@lboro.ac.uk
number_educ: 2
- education1: PhD in Medical Image Analysis
- education2: Brain conductivity measurements and 3D+T fetal cardiac MRI
+ education1: PhD in
+ education2:
education3:
education4:
+
+- name: Dr. Yuefei Zuo
+ photo: LUCAS_Logo.png
+ info: Research Associate
+ email: y.zuo@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
diff --git a/_data/publist.yml b/_data/publist.yml
index 69fe765b72c..aae53524273 100644
--- a/_data/publist.yml
+++ b/_data/publist.yml
@@ -1,182 +1,19 @@
-- title: "ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans"
- image: ICAM.png
+- title: "Disturbance Observer-based Control and Related Method: An Overview"
+ image: dobc.gif
description:
- authors: C Bass, M da Silva, C Sudre, LZJ Williams, PD Tudosiu, F Alfaro-Almagro, SP Fitzgibbon, MF Glasser, SM Smith, EC Robinson
+ authors: W.-H. Chen, J. Yang, L. Guo, S. Li
link:
- url: https://ieeexplore.ieee.org/document/9947339/
- display: IEEE Transactions on Medical Imaging (2022).
+ url: https://ieeexplore.ieee.org/document/7265050
+ display: IEEE Transactions on Industrial Electronics.
highlight: 1
news2:
-- title: "A deep-discrete learning framework for spherical surface registration"
- image: model_ddr.png
+- title: "A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors"
+ image: source_estimation2.jpg
description:
- authors: MA Suliman, LZJ Williams, A Fawaz, EC Robinson
+ authors: M. Hutchinson, H. Oh, W.-H. Chen
link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-16446-0_12
- display: Conference on Medical Image Computing and Computer-Assisted Intervention 2022 (pp. 119-129)
+ url: https://www.sciencedirect.com/science/article/pii/S156625351630152X
+ display: Information Fusion
highlight: 1
news2:
-
-- title: "Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity"
- image:
- description:
- authors: S Dahan LZJ Williams, D Rueckert, EC Robinson
- link:
- url: https://link.springer.com/chapter/10.1007/978-3-030-87586-2_15
- display: In International Workshop on Machine Learning in Clinical Neuroimaging 2021 (pp. 145-154). Springer, Cham.
- highlight:
- news2:
-
-- title: "Differential Patterns of Cortical Expansion in Fetal and Preterm Brain Development"
- image: surface_transformer.jpeg
- description:
- authors: M da Silva, K Garcia, V. Kyriakopoulou, LZJ Williams, AM Winkler, J Cardoso, EC Robinson
- link:
- url: https://github.com/mariftsilva/FITNG/blob/main/Poster-FITNG.pdf
- display: FIT'NG 2023
- highlight: 1
- news2:
-
-- title: "Continuous GCN-GANs for Modelling Neonatal Cortical Surface Development"
- image: tmi_image_3.png
- description:
- authors: A Fawaz, LZJ Williams, S Dahan, AD Edwards, EC Robinson
- link:
- url: https://openreview.net/forum?id=wPwB2KZsRp
- display: Geometric Deep Learning in Medical Image Analysis (Extended abstracts). 2022.
- highlight: 1
- news2:
-
-- title: "A Deep Generative Model of Neonatal Cortical Surface Development"
- image:
- description:
- authors: A Fawaz, LZJ Williams, S Dahan, AD Edwards, EC Robinson
- link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-12053-4_35
- display: Annual Conference on Medical Image Understanding and Analysis. Springer, Cham, 2022
- highlight:
- news2:
-
-- title: "Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks"
- image: Biomechanicalmodel.png
- description:
- authors: M Da Silva, CH Sudre, K Garcia, C Bass, M Jorge Cardoso, EC Robinson
- link:
- url: https://link.springer.com/chapter/10.1007/978-3-030-87586-2_2
- display: In International Workshop on Machine Learning in Clinical Neuroimaging 2021 (pp. 13-22). Springer, Cham.
- highlight: 1
- news2:
-
-- title: "Structural and functional asymmetry of the neonatal cerebral cortex"
- image: term_pval.png
- description:
- authors: LZJ Williams, SP Fitzgibbon, J Bozek, AM Winkler, R Dimitrova, T Poppe, A Schuh, A Makropoulos, J Cupitt, J O'Muircheartaigh, E Duff, L Cordero-Grande, AN Price, JV Hajnal, D Rueckert, SM Smith, AD Edwards, EC Robinson
- link:
- url: https://www.biorxiv.org/content/10.1101/2021.10.13.464206v1.abstract
- display: biorxiv
- highlight: 1
- news2:
-
-- title: "Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity"
- image:
- description:
- authors: S Dahan LZJ Williams, D Rueckert, EC Robinson
- link:
- url: https://link.springer.com/chapter/10.1007/978-3-030-87586-2_15
- display: In International Workshop on Machine Learning in Clinical Neuroimaging 2021 (pp. 145-154). Springer, Cham.
- highlight:
- news2:
-
-- title: "Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation"
- image:
- description:
- authors: LZJ Williams, A Fawaz, MF Glasser, AD Edwards, EC Robinson
- link:
- url: https://link.springer.com/chapter/10.1007/978-3-030-87586-2_11
- display: In International Workshop on Machine Learning in Clinical Neuroimaging 2021 (pp. 103-112). Springer, Cham.
- highlight:
- news2:
-
-
-- title: "ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping"
- image:
- description:
- authors: C Bass, M da Silva, C Sudre, PD Tudosiu, SM Smith, EC Robinson
- link:
- url: https://proceedings.neurips.cc/paper/2020/hash/56f9f88906aebf4ad985aaec7fa01313-Abstract.html
- display: Neural Information Processing Systems (NeurIPS) 7697--7709(2020)
- highlight:
- news2:
-
-
-- title: "Multimodal surface matching with higher-order smoothness constraints "
- image:
- description:
- authors: Robinson EC, Garcia K, Glasser MF, Chen Z, Coalson TS, Makropoulos A, Bozek J .... Rueckert D
- link:
- url: https://www.sciencedirect.com/science/article/pii/S1053811917308649
- display: NeuroImage. 2018 Feb 15;167:453-65.
- highlight:
- news2:
-
-- title: "A multi-modal parcellation of human cerebral cortex"
- image: HCPMPM.png
- description:
- authors: Glasser MF, Coalson TS, Robinson EC, Hacker CD, Harwell J, Yacoub E, Ugurbil K, Andersson J, Beckmann CF, Jenkinson M, Smith SM
- link:
- url: https://www.nature.com/articles/nature18933
- display: Nature. 2016 Aug;536(7615):171.
- highlight: 1
- news2:
-
-- title: "MSM: A new flexible framework for Multimodal Surface Matching"
- image: MSM.jpg
- description:
- authors: Robinson EC, Jbabdi S, Glasser MF, Andersson J, Burgess GC, Harms MP, Smith SM, Van Essen DC, Jenkinson M
- link:
- url: https://www.sciencedirect.com/science/article/abs/pii/S1053811914004546
- display: Neuroimage 100 (2014):414-426.
- highlight: 1
- news2:
-
-- title: "Identifying population differences in whole-brain structural networks: a machine learning approach."
- image:
- description:
- authors: Robinson EC, Hammers A, Ericsson A, Edwards AD, Rueckert D
- link:
- url: https://www.sciencedirect.com/science/article/abs/pii/S1053811910000248
- display: NeuroImage. 2010 Apr 15;50(3):910-9.
- highlight:
- news2:
-
-- title: "Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction"
- image: fetal_diffusion.png
- description:
- authors: M Deprez, AN Price, D Christiaens, ..., A Daducci, JD Tournier, MA Rutherford, S Counsell, M Bach Cuadra, JV Hajnal
- link:
- url: https://doi.org/10.1109/tmi.2019.2943565
- display: IEEE TMI Apr 2020
- highlight: 1
- news2:
-
-- title: "Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI "
- image: fetal-body-dsvr.png
- description:
- authors: Alena Uus, Tong Zhang, Laurence Jackson, Mary Rutherford, Joseph V. Hajnal, Maria Deprez
- link:
- url: https://doi.org/10.1109/TMI.2020.2974844
- display: IEEE TMI Sept 2020
- highlight: 1
- news2:
-
-- title: "Fetal whole heart blood flow imaging using 4D cine MRI. "
- image:
- description:
- authors: TA Roberts, JFP van Amerom, A Uus, ..., M Deprez, JV Hajnal
- link:
- url:
- display: Nature Communications 2020
- highlight:
- news2:
-
diff --git a/_data/software_eng.yml b/_data/software_eng.yml
index f72b6059b2e..6cb59abfef4 100644
--- a/_data/software_eng.yml
+++ b/_data/software_eng.yml
@@ -1,7 +1,69 @@
-- name: Dr. Renato Besenczi
- photo: RB_profile.jpg
- info: Research Software Engineer
- email: renato.besenczi(at)kcl.ac.uk
+- name: Dr. Matthew Coombes
+ photo: LUCAS_Logo.png
+ info:
+ email: m.j.coombes@lboro.ac.uk
number_educ: 2
- education1: PhD in Computer Science
- education2: Cortical Surface Registration for Translational Neuroimaging
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. Jingjing Jiang
+ photo: LUCAS_Logo.png
+ info:
+ email: j.jiang2@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. James Knowles
+ photo: LUCAS_Logo.png
+ info:
+ email: J.A.C.Knowles@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. Chengyuan Liu
+ photo: LUCAS_Logo.png
+ info:
+ email: c.liu10@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Prof. Cunjia Liu
+ photo: LUCAS_Logo.png
+ info:
+ email: c.liu5@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. Thomas Steffen
+ photo: LUCAS_Logo.png
+ info:
+ email: t.steffen@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
+
+- name: Dr. Jun Yang
+ photo: LUCAS_Logo.png
+ info:
+ email: j.yang3@lboro.ac.uk
+ number_educ: 2
+ education1: PhD in
+ education2:
+ education3:
+ education4:
diff --git a/_data/team_members.yml b/_data/team_members.yml
index 7f58f256bda..da78bc20d95 100644
--- a/_data/team_members.yml
+++ b/_data/team_members.yml
@@ -1,19 +1,9 @@
-- name: Dr. Emma Robinson
- photo: ERphoto.jpg
- info: Lab Lead/Senior Lecturer in Medical Image Computing
- email: emma.robinson(at)kcl.ac.uk
+- name: Prof. Wen-Hua Chen
+ photo: wen.jpg
+ info: Lab Lead/Professor in Autonomous Vehicle
+ email: w.chen@lboro.ac.uk
number_educ: 2
- education1: Senior Lecturer in Medical Image Computing
- education2: Cortical Surface Processing, Image Registration and Analysis, Machine Learning
- education3: Postdoc positions Imperial College and Oxford University (FMRIB centre)
- education4: Twitter @emrobSci
-
-- name: Dr. Maria Deprez
- photo: maria-deprez-photo.jpg
- info: Lab Lead/Senior Lecturer in Medical Imaging
- email: maria.deprez(at)kcl.ac.uk
- number_educ: 2
- education1: Senior Lecturer in Medical Imaging
- education2: Motion Correction of Fetal MRI, Image Registration and Segmentation, Spatiotemporal Atlases, Machine Learning
- education3: Postdoc positions Oxford University, King's College London
-
+ education1: Senior Lecturer in Autonomous Vehicles
+ education2: Unmanned vehicle, situational awareness, decision making, disturbance observer, model predictive control
+ education3:
+ education4:
diff --git a/_includes/footer.html b/_includes/footer.html
index e61695e0a55..9db6d83c3b8 100644
--- a/_includes/footer.html
+++ b/_includes/footer.html
@@ -4,7 +4,7 @@
Contact:
- Becket House
- 1 Lambeth Palace Road
- King's College London
- UK
+ Stewart Miller Building
+ Epinal Way
+ Loughborough University
+ Leicestershire LE11 3TU
diff --git a/_includes/head.html b/_includes/head.html
index 2cb34a4e6eb..a53f83be07e 100644
--- a/_includes/head.html
+++ b/_includes/head.html
@@ -6,7 +6,7 @@
-
+
{% if jekyll.environment == 'production' %}
{% include analytics.html %}
diff --git a/_includes/header.html b/_includes/header.html
index 778d7513178..af3a3fcceea 100644
--- a/_includes/header.html
+++ b/_includes/header.html
@@ -12,17 +12,16 @@
diff --git a/_layouts/homelay.html b/_layouts/homelay.html
index 533d4538e31..4539f49870f 100644
--- a/_layouts/homelay.html
+++ b/_layouts/homelay.html
@@ -3,7 +3,7 @@
---
-
Welcome to the MeTrICS Lab
+ Welcome to LUCAS
{{ content }}
diff --git a/_pages/blog.md b/_pages/blog.md
index a3e04a95b84..5f5dacad046 100644
--- a/_pages/blog.md
+++ b/_pages/blog.md
@@ -1,13 +1,13 @@
---
-title: "METRICS Lab - Blog"
+title: "LUCAS - Projects"
layout: gridlay
-excerpt: "METRICS Lab -- Blog"
+excerpt: "LUCAS -- Projects"
sitemap: false
-permalink: /blogs/
+permalink: /projects/
---
-# Blogs
+# Projects
-This is a collection of blog posts written by members of the METRICS group, to improve the accessbility of our research. All feedback is welcome and can be addressed to the author of the blog.
+This is a collection of projects of the LUCAS group.
{% for post in site.posts %}
diff --git a/_pages/home.md b/_pages/home.md
index 22a32ba8be5..6b724e3aa01 100644
--- a/_pages/home.md
+++ b/_pages/home.md
@@ -1,20 +1,19 @@
---
-title: "METRICS Lab - Home"
+title: "LUCAS - Home"
layout: homelay
-excerpt: "METRICS Lab"
+excerpt: "LUCAS"
sitemap: false
-permalink: /
+permalink: /home/
---
-Welcome to the website for MeTrICS Lab (Machine Learning for Translational Imaging and Cortical Surfaces), based at [King's College London](https://www.kcl.ac.uk/). Working alongside the [Centre for the Developing Brain](https://www.developingbrain.co.uk/) at King's College London, we seek to develop tools that support perinatal (fetal and neonatal) health and improve understanding of the mechanisms behind neurodevelopmental impairment.
+Welcome to the website for Loughborough University Centre for Autonomous System (LUCAS), based at [Loughborough University](https://www.lboro.ac.uk/). LUCAS is a specialised research group, focusing on research in aerospace control. Comprised of both students and research professionals, LUCAS has strong links to many industrial partners and primarily works on research for unmanned applications. In addition to industry-backed research, a large part of LUCAS is post-graduate study, allowing for an investigation into areas not currently commercially explored.
Our specific areas of interest include:
-- Cortical surface processing
-- Functional and microstructural imaging
-- Geometric Deep Learning
-- Image reconstruction, segmentation and registration
-- Interpretable AI
-- Spatio-temporal ML
+- Advanced Automation and Control
+- Estimation, Tracking and Decision Making
+- Robotic Information Gathering
+- Machine Learning and AI
+- Computer Vision
See [Research](research) for more details
@@ -31,10 +30,10 @@ We are **always** looking for passionate new students (PhD and MSc/MEng) and pos
@@ -52,13 +51,13 @@ Please check out our [GitHub page](https://github.com/metrics-lab) and [Resource
-
-
-
-
+
+
+
+
-We are grateful for funding from Academy of Medical Sciences, [Springboard Awards](https://acmedsci.ac.uk/grants-and-schemes/grant-schemes/springboard) and [Wellcome](https://wellcome.ac.uk/funding). Our collaborations with the [Developing Human Connectome Project](http://www.developingconnectome.org/) are funded by the ERC.
+We are grateful for funding from [UKRI](), [EPSRC](), [Newton Fund](), [dstl]().
diff --git a/_pages/openings.md b/_pages/openings.md
index 519ad246fa2..dffca32a36b 100644
--- a/_pages/openings.md
+++ b/_pages/openings.md
@@ -1,5 +1,5 @@
---
-title: "METRICS Lab - Vacancies"
+title: "LUCAS - Vacancies"
layout: textlay
excerpt: "Openings"
sitemap: false
@@ -14,11 +14,9 @@ Sorry, we don't currently have any RA openings.
### Applications for PhD and Postdoc positions
-PhD programs are opening later this year, get in touch if you are interested in working on AI problems for medical imaging and computational neuroscience.
+PhD programs are opening later this year, get in touch if you are interested in working on advanced automation, decision-making, machine learning, and computer vision.
-[AI-driven simulations of brain development](https://kcl-mrcdtp.com/project/ai-driven-simulations-of-brain-development/) Combining computational neuroscience with biomedical engineering we will build simulations of neurological processes and use these to predict which babies are most at risk of neurodevelopmental disorders
-
-[Commonwealth PhD Scholarships for the least developed countries and fragile states](https://www.kcl.ac.uk/study-legacy/funding/commonwealth-phd-scholarships-for-least-developed-countries-and-fragile-states) if you think this applies to you get in touch
+[PhD Scholarships](https://www.lboro.ac.uk/study/postgraduate/fees-funding/research-degree-funding/china-scholarship-council/) if you think this applies to you get in touch
diff --git a/_pages/publications.md b/_pages/publications.md
index ac97d92af11..2bfdc1bc56a 100644
--- a/_pages/publications.md
+++ b/_pages/publications.md
@@ -1,14 +1,14 @@
---
-title: "METRICS Lab - Publications"
+title: "LUCAS - Publications"
layout: gridlay
-excerpt: "METRICS Lab -- Publications."
+excerpt: "LUCAS -- Publications."
sitemap: false
permalink: /publications/
---
# Publications
-For a complete publication list, please see [Dr Robinson's](https://scholar.google.co.uk/citations?user=WXAAOb0AAAAJ&hl=en), or [Dr Deprez'](https://scholar.google.co.uk/citations?user=qtojUaIAAAAJ&hl=en) Google Scholar.
+For a complete publication list, please see [Prof Chen's](https://scholar.google.co.uk/citations?user=WXAAOb0AAAAJ&hl=en) Google Scholar.
## Highlights
diff --git a/_pages/research.md b/_pages/research.md
index 6230b20a4d1..69125146084 100644
--- a/_pages/research.md
+++ b/_pages/research.md
@@ -1,18 +1,20 @@
---
-title: "METRICS Lab - Research"
+title: "LUCAS - Research"
layout: textlay
-excerpt: "METRICS Lab -- Research"
+excerpt: "LUCAS -- Research"
sitemap: false
permalink: /research/
---
# Research
-### Dr. Emma Robinson
+### Prof Chen
-Dr Robinson's research focuses on the development of computational methods for brain imaging analysis, and covers a wide range of image processing and machine learning topics. Most notably, her software for cortical surface registration [Multimodal Surface Matching](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MSM) (MSM) has been central to the development of the Human Connectome Project’s [Multimodal parcellation of the human cortex](https://www.nature.com/articles/nature18933), and has featured as a central tenet in the [HCP’s paradigm for neuroimage analysis](https://www.nature.com/articles/nn.4361). This work has been widely reported in the media including Wired, Scientific American, and Wall Street Journal.
+Prof Chen (Fellow, IEEE) currently holds the Chair in Autonomous Vehicles with the Depart- ment of Aeronautical and Automotive Engineer- ing, Loughborough University, Loughborough, U.K. He has a considerable experience in control, sig- nal processing, and artificial intelligence, and their applications in robots, aerospace, and automotive systems. He has contributed significantly to a num- ber of areas, including disturbance-observer-based control, model predictive control, and unmanned aerial vehicles. He is also a Chartered Engineer
+and a fellow of the Institution of Mechanical Engineers and the Institution of Engineering and Technology, U.K. He also holds a five years EPSRC Established Career Fellowship. He has authored or coauthored 300 papers and two books.
+
+VIDEO
-Current research interests are focused on the application of advanced machine learning, and particularly deep learning to diverse data sets combining multi-modality imaging data with genetic samples. We are particularly interested in building sensitive models of cognitive development and developmental outcome for prematurely born babies from data collected for the [Developing Human Connectome](http://www.developingconnectome.org/project/) Project (dHCP).
diff --git a/_pages/resources.md b/_pages/resources.md
index 680c9ed7c7e..36e187f53c1 100644
--- a/_pages/resources.md
+++ b/_pages/resources.md
@@ -6,47 +6,15 @@ permalink: /resources/
---
## Lectures
-Access to the 2020-2021 (pandemic recordings) of our machine learning and advanced machine learning (deep learning) courses are available from [here](https://drive.google.com/drive/folders/1eRcC2RF690JaoGl2rhtlxiAHw85qtspb?usp=sharing). These include videos, slides, jupyter notebooks and solutions.
+Access to the 2020-2021 (pandemic recordings) of our machine learning and advanced machine learning (deep learning) courses are available from [here](https://drive.google.com/drive/folders/1eRcC2RF690JaoGl2rhtlxiAHw85qtspb?usp=sharing).
## Group Tutorials
We run tutorials on a variety of topics including machine learning, medical image processing and foundation neuroscience. Below are links to slides and notebooks:
[Methods for diffusion MRI analysis in recent neonate studies](https://emckclac-my.sharepoint.com/:b:/g/personal/k1759240_kcl_ac_uk/EYrpr6GOaExMqlHzPhqcAV4BOwzeIe-aNHNYpvCmS9yn8Q?e=4FPZof)
-[Capsule networks]({{ site.baseurl }}/downloads/Capsules_tutorial.pdf)
-[Gaussian Processes models in developmental neuroimaging](https://github.com/metrics-lab/talks_and_tutorials/blob/master/GaussianProcessModels_in_Developmentalneuroimaging.pdf)
-[Using Animal Models in Perinatal Brain Research](https://github.com/metrics-lab/talks_and_tutorials/blob/master/Animal_Models_Of_Perinatal_Research%20%2B%20Preclinical_Imaging%20-%20Sept2019.pdf)
-
-[Registration with Deep Learning]({{ site.baseurl }}/downloads/DLRegistration_2019_10_28.pdf)
-
-
-## Software
-
-The following open source code and software packages have been developed by our lab:
-
-[dHCP surface to template alignment](https://github.com/ecr05/dHCP_template_alignment) - scripts to align neonatal cortical surfaces to the neonatal surface templates [available here](https://brain-development.org/brain-atlases/atlases-from-the-dhcp-project/)
-
-[Developing Human Connectome Project (dHCP) structural pipeline](https://github.com/BioMedIA/dhcp-structural-pipeline) - pipelines for neonatal cortical surface extraction
-
-[Geometric deep learning for cortical surfaces](https://github.com/Abdulah-Fawaz/Benchmarking) - code for benchmarking a range of geometric deep learning methods on neonatal cortical surface data
-
-[MSM](https://github.com/ecr05/MSM_HOCR) - a tool for multimodal alignment of cortical surface data. This is the image registration software used by the [Human Connectome Project (HCP) pipelines](https://www.humanconnectome.org/software/hcp-mr-pipelines) and in the [HCP parcellation paper](https://www.nature.com/articles/doi%3A10.1038/nature18933)
-
-[ST-fMRI](https://github.com/metrics-lab/ST-fMRI) - code for spatiotemporal deep learning on functional MRI data
-
-[SVRTK](https://svrtk.github.io/) - Reconstruction tools for fetal MRI
-
-[newMSM](https://metrics-lab.github.io/newMSM/) - the new, reworked version of Multimodal Surface Matching software
-
-## Datasets
-
-Below are freely available imaging atlases and datasets we have curated as part of our research:
-
-[Left-right symmetric cortical surface atlas for dHCP](https://brain-development.org/brain-atlases/atlases-from-the-dhcp-project/cortical-surface-template/) - we extend on the work of Bozek et al. (2018) to increase the age range to 28 - 44 weeks' PMA, and enforce left-right vertex correspondence
-
-[Preprocessed data for benchmarking geometric deep learning on neonatal cortical surfaces](https://gin.g-node.org/lzjwilliams/geometric-deep-learning-benchmarking}{https://gin.g-node.org/lzjwilliams/geometric-deep-learning-benchmarking/) - sphericalised neonatal cortical surface data in native and template space, used to benchmark a range of geometric deep learning methods on surface segmentation and phenotype prediction
diff --git a/_pages/sadmu.md b/_pages/sadmu.md
new file mode 100644
index 00000000000..559a14f5227
--- /dev/null
+++ b/_pages/sadmu.md
@@ -0,0 +1,21 @@
+---
+title: "SADMU"
+layout: textlay
+excerpt: "SADMU"
+sitemap: false
+permalink: /sadmu/
+---
+
+## Project background
+SLCN (Surface Learning for Clinical Neuroimaging) is a new MICCAI workshop aimed at promoting the development of deep learning methods suitable for cortical surface data. This year, participants are tasked with predicting developmental phenotypes (gestational age at birth and cognitive score) from cortical surface data acquired as part of the [Developing Human Connectome Project](http://www.developingconnectome.org/).
+
+## Project overview
+Unmanned vehicles operate in a dynamic, unpredictable environment with incomplete (or inaccurate) sensory information, which creates many challenges in situation awareness and decision-making. Probabilistic and bounded approaches are widely used to represent uncertainty with a known distribution or with a known upper and lower bound respectively. Situation awareness includes the perception of the objects in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future. For example, in a projection of the near status of moving objects of interest, any initial uncertainty associated with perception and comprehension will expand exponentially with the increase of the projection time span. However, it is possible to significantly reduce the uncertainty by utilizing the information in the world model such as the operation environment, the Rules of the Road (or of the Air), and the properties of an identified object. For probabilistic uncertainty, this makes the Gaussian distribution assumption invalid, which is fundamental for most of the current statistical approaches such as Kalman filtering. Under the Gaussian distribution assumption, the estimated state of a moving object can be presented by its mean with a variance, and a symmetric uncertain region can be defined with the mean located at the centre (under a specified confidence level such as 99%). The introduction of knowledge (e.g. constraints due to the roadway layout) makes this not true anymore. To address the challenge of non-Gaussian distributions imposed by making use of information from the world model, a rigorous Bayesian learning framework will be developed for pooling all the knowledge from the world model and measurement data to provide a better estimate of the environment, and to propagate the uncertain regions with projection time. Reachability analysis will be developed for bounded uncertainty for worst-case analysis, where the uncertainty will be reduced using constraints from the world model. A hazard analysis will be carried out to identify any potential risk. The key idea is to take a proactive approach to prevent any emergent situation through improving situational awareness reasoning and decision making. The estimates and associated uncertain regions provided by the situational awareness will be fed to novel decision-making and planning tools. The research activities will be strongly supported and verified by experimental tests on small-scale ground and aerial vehicles. This project aims to significantly improve the level of safety of unmanned vehicle operation and to bridge the gap between the development and deployment of unmanned vehicles in real-world applications, which is a strategically important area for new business growth.
+
+
+
+
+
+
+
+
diff --git a/_pages/slcn.md b/_pages/slcn.md
deleted file mode 100644
index 6680e5e0cd8..00000000000
--- a/_pages/slcn.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-title: "SLCN MICCAI Challenge"
-layout: textlay
-excerpt: "SLCN MICCAI 2023 Challenge"
-sitemap: false
-permalink: /slcn/
----
-
-
-
-**SLCN** Data Access Data Description Cortical Surface Tools Repositories Timeline Submission Evaluation Prizes Organisers References
-
-
-## What is SLCN?
-SLCN (Surface Learning for Clinical Neuroimaging) is a new MICCAI workshop aimed at promoting the development of deep learning methods suitable for cortical surface data. This year, participants are tasked with predicting developmental phenotypes (gestational age at birth and cognitive score) from cortical surface data acquired as part of the [Developing Human Connectome Project](http://www.developingconnectome.org/).
-
-
-> **This page will be updated regularly to provide information on the submission instructions and evaluation phases. Please, check instructions and email us at slcn.challenge@gmail.com for any question.**
-
-
-
-## The challenge of identifying neurodevelopmental biomarkers
-Detecting biomarkers from neuroimaging data is highly challenging, since the degree of topographic variability of cortical shape and functional organisation across individuals limits the accuracy with which brains can be compared through image registration ([Glasser et al., 2016](https://www.nature.com/articles/nature18933); [Kong et al., 2019](https://academic.oup.com/cercor/article/29/6/2533/5033556?login=true)). There is a clear need for precision imaging tools of the brain which are robust to these factors.
-
-Recently, ([Fawaz et al., 2021](https://www.biorxiv.org/content/10.1101/2021.12.01.470730v1.full.pdf); [Dahan et al., 2022](https://openreview.net/pdf?id=mpp843Bsf-)) proposed a novel benchmark for prototyping tools for cortical analysis based on the regression of clinical phenotypes from the dHCP ([Makropoulos et al., 2018](https://www.sciencedirect.com/science/article/pii/S1053811918300545?via%3Dihub); [Bozek et al., 2018](https://www.sciencedirect.com/science/article/pii/S1053811918305251?via%3Dihub#bib35)) - a unique open dataset of multimodal neonatal brain images, acquired from preterm and term neonates between 24 and 45 weeks' postmenstrual age. Over this period of late gestation, the human brain undergoes rapid growth and maturation, characterised by highly dynamic and organised cellular and molecular processes (Figure 1). Disruptions to these processes, for example due to preterm birth, can have serious consequences resulting in significant increased risk of those neonates developing neuropsychiatric conditions including autism spectrum disorder, attention deficit hyperactivity disorder (ADHD), schizophrenia, bipolar affective disorder and major depressive disorder in later life ([Nosarti et al., 2007](https://www.cambridge.org/core/journals/journal-of-the-international-neuropsychological-society/article/impaired-executive-functioning-in-young-adults-born-very-preterm/7844821C18D9B93A76A20815B07E5F91); [Nosarti et al., 2012](https://www.cambridge.org/core/journals/journal-of-the-international-neuropsychological-society/article/impaired-executive-functioning-in-young-adults-born-very-preterm/7844821C18D9B93A76A20815B07E5F91)).
-
-## Tasks
-The goal of this challenge will therefore be to elicit submissions of novel methods for cortical phenotype regression, with emphasis on interpretable or explainable machine learning methods which deliver biomarkers predictive of risk for neurodevelopmental impairment. These will be benchmarked on the tasks of:
-- **Regression of gestational age at birth** (seen as a correlate of prematurity).
-- **Prediction of cognitive outcome measured using Bayley-III composite cognitive scores**.
-
-
-
-
-| |
-|:--:|
-| *Figure 1.* Global measures of cortical surface area and folding increase over time. (A) Cortical midthickness surfaces for individual hemisphere at 28 wk, 30 wk, 33 wk, and 38 wk PMA. Color overlay represents nondimensional curvature, K*, a useful metric of the degree of folding. (B) Total cortical surface area (Left) and average magnitude of K* (Right) increase with time. However, these global measures do not provide information about regional variations in maturation and morphology. Adapted from [Garcia et al., 2018](https://www.pnas.org/doi/abs/10.1073/pnas.1715451115). |
-
-
-
diff --git a/_pages/talks.md b/_pages/talks.md
index 43c7d4e5c58..48f04f7b4f6 100644
--- a/_pages/talks.md
+++ b/_pages/talks.md
@@ -1,28 +1,14 @@
---
-title: "METRICS Lab - Resources"
+title: "LUCAS - Resources"
layout: piclay
-excerpt: "METRICS Lab -- Resources"
+excerpt: "LUCAS -- Resources"
permalink: /talks/
---
-## Selection of Emma's Talks
+## Selection of Prof Chen's Talks
-July 2023 Keynote OHBM2023 [slides](https://emckclac-my.sharepoint.com/:b:/g/personal/k1644933_kcl_ac_uk/EawCu44tfhhBpk5Qzl9sFSMBtRXvcFC1090ltjn51VnY4w?e=9BlqSc) [talk](https://www.youtube.com/watch?v=z8MkmBz85wI)
+Feb 2021 Fellowship Inaugural Lecture []() [Are we safe to move into a highly automated society?]([https://www.youtube.com/watch?v=z8MkmBz85wI](https://lboro.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=f3e5b5c7-289c-4705-9d5c-acd10103a2f4))
-Nov 2022 [Keynote - GeoMedIA 22](https://www.youtube.com/watch?v=xjXwRQII3Z4) - Geometric Deep Learning for Cortical Imaging - opportunities and recent research (talk starts at ~ 1hr 7 mins into YouTube recording)
-
-Sep 2021 [McGill Feindel Virtual Brain and Mind Lecture Series](https://us-webapp.spotme.com/5bf5d99d38927b8bb6b8f093d97ece81/view/session/af44f917d022cffedd29fac7327a4dae) - Precision modelling of individual cortical organisation and its links with cognition and neuropsychiatric disease (requires sign up for the web platform)
-
- Sep 2021 [Machine Learning for Clinical Neuroimaging (MLCN)](https://www.youtube.com/watch?v=N_BW7XzpCHE) - Panel discussion
-
- Jan 2020 [Risk Institute Machine-learning Workshop, University of Liverpool](https://www.slideshare.net/secret/hj96UJ1aWTChWb) Analysing cortical
-organisation and its relation to cognition: A machine learning & discrete optimization approach (tutorial on how to use MSM and use cortical surface imaging data)
-
- Aug 2019 [ FITʼNG In: Establishing Best Practices for Infant NeuroImaging FLUX congress , New York](https://www.slideshare.net/secret/4AKsoFzsk84k72) - The Developing Human Connectome Project (dHCP): the power of Big Data (overview of the dHCP second data release)
-
- May 2018 [ Big Data Little Brain’s, Flux Satellite Conference, Chapel Hill, North Carolina:](https://www.slideshare.net/EmmaRobinson51/big-datalittlebrains) - The Developing Human Connectome Project (dHCP): Towards a dynamic map of evolving brain connectivity, reflecting fetal and early neonatal periods
-
- March 2018 [Imperial College, Department of Computing, Machine Learning Tutorial Series](https://www.slideshare.net/EmmaRobinson51/the-symbiotic-relationship-between-neuroscience-and-machine-learning-95711926) - The symbiotic relationship between neuroscience and machine learning
diff --git a/_pages/team.md b/_pages/team.md
index 586289e96e8..a01d991bae2 100644
--- a/_pages/team.md
+++ b/_pages/team.md
@@ -1,7 +1,7 @@
---
-title: "METRICS Lab - Team"
+title: "LUCAS - Team"
layout: gridlay
-excerpt: "METRICS Lab: Team members"
+excerpt: "LUCAS: Team members"
sitemap: false
permalink: /team/
---
@@ -73,9 +73,10 @@ We are **always** looking for new students (PhD and MSc/MEng) and post-docs to j
{% endif %}
-## Research Associates
+
+## Research Software Engineers
{% assign number_printed = 0 %}
-{% for member in site.data.post_doc %}
+{% for member in site.data.software_eng %}
{% assign even_odd = number_printed | modulo: 2 %}
@@ -136,10 +137,9 @@ We are **always** looking for new students (PhD and MSc/MEng) and post-docs to j
{% endif %}
-
-## Research Software Engineers
+## Research Associates
{% assign number_printed = 0 %}
-{% for member in site.data.software_eng %}
+{% for member in site.data.post_doc %}
{% assign even_odd = number_printed | modulo: 2 %}
@@ -201,6 +201,8 @@ We are **always** looking for new students (PhD and MSc/MEng) and post-docs to j
+
+
## PhD Students
{% assign number_printed = 0 %}
{% for member in site.data.phd_students %}
@@ -264,71 +266,6 @@ We are **always** looking for new students (PhD and MSc/MEng) and post-docs to j
{% endif %}
-
-
-## MSc/MEng Students
-{% assign number_printed = 0 %}
-{% for member in site.data.students %}
-
-{% assign even_odd = number_printed | modulo: 2 %}
-
-{% if even_odd == 0 %}
-
-{% endif %}
-
-
-
-
{{ member.name }}
- <{{ member.email }}>
-
-
- {% if member.number_educ == 1 %}
- {{ member.education1 }}
- {% endif %}
-
- {% if member.number_educ == 2 %}
- Education: {{ member.education1 }}
- Project: {{ member.education2 }}
- {% endif %}
-
- {% if member.number_educ == 3 %}
- {{ member.education1 }}
- {{ member.education2 }}
- {{ member.education3 }}
- {% endif %}
-
- {% if member.number_educ == 4 %}
- {{ member.education1 }}
- {{ member.education2 }}
- {{ member.education3 }}
- {{ member.education4 }}
- {% endif %}
-
- {% if member.number_educ == 5 %}
- {{ member.education1 }}
- {{ member.education2 }}
- {{ member.education3 }}
- {{ member.education4 }}
- {{ member.education5 }}
- {% endif %}
-
-
-
-
-{% assign number_printed = number_printed | plus: 1 %}
-
-{% if even_odd == 1 %}
-
-{% endif %}
-
-{% endfor %}
-
-{% assign even_odd = number_printed | modulo: 2 %}
-{% if even_odd == 1 %}
-
-{% endif %}
-
-
## Alumni
@@ -369,23 +306,6 @@ We are **always** looking for new students (PhD and MSc/MEng) and post-docs to j
{% endif %}
-## Previous MSc/MEng & BSc/BEng Students
-
-
-
-
MSc/MEng Students
-{% for member in site.data.alumni_msc %}
-{{ member.name }}
-{% endfor %}
-
-
-
BSc/BEng Students
-{% for member in site.data.alumni_bsc %}
-{{ member.name }}
-{% endfor %}
-
-
-
diff --git a/css/main.scss b/css/main.scss
index 950e6eb6353..53e4f800d56 100644
--- a/css/main.scss
+++ b/css/main.scss
@@ -94,6 +94,6 @@ firstp {
button {
- font-size: 10;
+ font-size: 10px;
padding: 5px 10px;
}
diff --git a/images/.DS_Store b/images/.DS_Store
index 43419b711cf..6948b1ec384 100644
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new file mode 100644
index 00000000000..e69de29bb2d
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diff --git a/images/pubpic/dobc.gif b/images/pubpic/dobc.gif
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diff --git a/images/teampic/LUCAS_Logo.png b/images/teampic/LUCAS_Logo.png
new file mode 100644
index 00000000000..43238fd5552
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diff --git a/images/teampic/wen.jpg b/images/teampic/wen.jpg
new file mode 100644
index 00000000000..b4313cd59f1
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diff --git a/sitemap.txt b/sitemap.txt
index 4c3e5b02613..7fd7c36e157 100644
--- a/sitemap.txt
+++ b/sitemap.txt
@@ -1,8 +1,8 @@
-https://metrics-lab.github.io/
-https://metrics-lab.github.io/team/
-https://metrics-lab.github.io/vacancies/
-https://metrics-lab.github.io/publications/
-https://metrics-lab.github.io/research/
-https://metrics-lab.github.io/resources/
-https://metrics-lab.github.io/blogs/
-https://metrics-lab.github.io/slcn/
+https://yaleiyu.github.io/
+https://yaleiyu.github.io/team/
+https://yaleiyu.github.io/vacancies/
+https://yaleiyu.github.io/publications/
+https://yaleiyu.github.io/research/
+https://yaleiyu.github.io/resources/
+https://yaleiyu.github.io/blogs/
+https://yaleiyu.github.io/slcn/