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  • Currently displaying 1 - 20 of 1325 publications
Non-contact, portable, and stand-off infrared thermal imager for security scanning applications
W Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
(doi: 10.1063/5.0188862)
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks.
W Khor, YK Chen, M Roberts, F Ciampa
– Scientific Reports
(2024)
14,
8353
(doi: 10.1038/s41598-024-56636-8)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2024)
35,
1
(doi: 10.1109/tnnls.2022.3203315)
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
(link to publication)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
AI Aviles-Rivero, C-W Cheng, Z Deng, Z Kourtzi, C-B Schönlieb
(2024)
(link to publication)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin, J Huang, Z Deng, G Yang, C-B Schönlieb, A Aviles-Rivero
(2024)
(link to publication)
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.
R Giddings, A Joseph, T Callender, SM Janes, M van der Schaar, J Sheringham, N Navani
– The Lancet. Digital health
(2024)
6,
e131
(doi: 10.1016/s2589-7500(23)00241-8)
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities
A Curth, RW Peck, E McKinney, J Weatherall, M van der Schaar
– Clinical pharmacology and therapeutics
(2024)
115,
710
(doi: 10.1002/cpt.3159)
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-AOS2326)
(link to publication)
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach
P Laferrière-Langlois, F Imrie, M-A Geraldo, T Wingert, N Lahrichi, M van der Schaar, M Cannesson
– Anesth Analg
(2023)
(doi: 10.1213/ANE.0000000000006753)
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen, Y Cheng, RH Chan, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Contrastive Registration for Unsupervised Medical Image Segmentation.
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2023)
PP,
1
(doi: 10.1109/tnnls.2023.3332003)
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
M Zhu, K Kobalczyk, A Petrovic, M Nikolic, MVD Schaar, B Delibasic, P Lio
(2023)
(link to publication)
Optimising Human-AI Collaboration by Learning Convincing Explanations
AJ Chan, A Huyuk, MVD Schaar
(2023)
(link to publication)
Invariant Causal Imitation Learning for Generalizable Policies
I Bica, D Jarrett, MVD Schaar
(2023)
(link to publication)
Time-series Generation by Contrastive Imitation
D Jarrett, I Bica, MVD Schaar
(2023)
(link to publication)
Multi-modal learning for predicting the genotype of glioma
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE Trans Med Imaging
(2023)
42,
3167
(doi: 10.1109/TMI.2023.3244038)
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping
Y Li, C Li, Y Wei, S Price, CB Schönlieb, X Chen
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2023)
14243,
21
(doi: 10.1007/978-3-031-45087-7_3)

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