Carola-Bibiane Schönlieb

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 254

Top Venues

CoRR

SIAM J. Imaging Sci.

SSVM

J. Math. Imaging Vis.

Publications

Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR (2024)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. CoRR (2024)
Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. CoRR (2024)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
A linear transportation Lp distance for pattern recognition. Pattern Recognit. 147 (2024)
Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Reinterpreting survival analysis in the universal approximator age. CoRR (2023)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
The curious case of the test set AUROC. CoRR (2023)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Provably Convergent Data-Driven Convex-Nonconvex Regularization. CoRR (2023)
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. CoRR (2023)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-e-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
B. A. Schreiber, J. Denholm, F. Jaeckle, M. J. Arends, Kim M. Branson, Carola-Bibiane Schönlieb, E. J. Soilleux
Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies. CoRR (2023)
Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for fast MRI. ISBI (2023)
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Dynamical Systems-Based Neural Networks. SIAM J. Sci. Comput. 45 (6) (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? MICCAI (10) (2023)
Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42 (2) (2023)
Sergio Calvo-Ordonez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Beyond U: Making Diffusion Models Faster & Lighter. CoRR (2023)
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40 (1) (2023)
Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM (2023)
Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Joint Reconstruction-Segmentation on Graphs. SIAM J. Imaging Sci. 16 (2) (2023)
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Single-Shot Plug-and-Play Methods for Inverse Problems. CoRR (2023)
Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Shujun Wang, Angelica I. Avilés-Rivero, Zoe Kourtzi, Carola-Bibiane Schönlieb
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. CoRR (2023)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI (2023)
Tamara G. Grossmann, Carola-Bibiane Schönlieb, Orietta Da Rold
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images. CoRR (2023)
Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR (2023)
Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. CoRR (2023)
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging 42 (11) (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR (2023)
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI (2023)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40 (1) (2023)
Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks. CoRR (2023)
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Dynamical Systems-Based Neural Networks. SIAM J. Sci. Comput. 45 (3) (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. MICCAI (6) (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? CoRR (2023)
Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR (2023)
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent Methodological Advances in Federated Learning for Healthcare. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
Robust Data-Driven Accelerated Mirror Descent. ICASSP (2023)
Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb
Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR (2023)
Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI (2023)
Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts! Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR (2023)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5 (7) (2023)
Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Schönlieb, C. L. Philip Chen
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection. IEEE Trans. Multim. 25 (2023)
Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. CoRR (2023)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36 (2) (2023)
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR (2023)
Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR (2023)
Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. ICCV (Workshops) (2023)
Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. SIAM J. Imaging Sci. 16 (3) (2023)
Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. CoRR (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for Fast MRI. CoRR (2023)
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb
Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR (2023)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR (2023)
Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Traffic Video Object Detection using Motion Prior. CoRR (2023)
Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. TML4H (2023)
Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. CoRR (2023)
Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
Riemannian geometry for efficient analysis of protein dynamics data. CoRR (2023)
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Continuous U-Net: Faster, Greater and Noiseless. CoRR (2023)
Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. CoRR (2023)
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR (2022)
Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. J. Mach. Learn. Res. 23 (2022)
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
Non-Uniform Diffusion Models. CoRR (2022)
Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. CoRR (2022)
Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31 (2022)
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) (2022)
Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR (2022)
Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb
On Biased Stochastic Gradient Estimation. J. Mach. Learn. Res. 23 (2022)
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR (2022)
Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191 (2) (2022)
Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR (2022)
Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness. CoRR (2022)
Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Joint reconstruction-segmentation on graphs. CoRR (2022)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, AIX-COVNET Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the challenges in creating complex data systems: a development philosophy. CoRR (2022)
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI (2022)
Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb
On Krylov Methods for Large Scale CBCT Reconstruction. CoRR (2022)
Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Accelerating Deep Unrolling Networks via Dimensionality Reduction. CoRR (2022)
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Classification of datasets with imputed missing values: does imputation quality matter? CoRR (2022)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR (2022)
Jingwei Liang, Tao Luo, Carola-Bibiane Schönlieb
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier. SIAM J. Sci. Comput. 44 (3) (2022)
Tao Wei, Angelica I. Avilés-Rivero, Shuo Wang, Yuan Huang, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Chang Wen Chen
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. Medical Image Anal. 82 (2022)
Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
Predicting conversion of mild cognitive impairment to Alzheimer's disease. CoRR (2022)
Yakov Vaisbourd, Rustum Choksi, Ariel Goodwin, Tim Hoheisel, Carola-Bibiane Schönlieb
Maximum Entropy on the Mean and the Cramér Rate Function in Statistical Estimation and Inverse Problems: Properties, Models, and Algorithms. CoRR (2022)
Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. CoRR (2022)
Bogdan Toader, Jérôme Boulanger, Yury Korolev, Martin O. Lenz, James Manton, Carola-Bibiane Schönlieb, Leila Muresan
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise. J. Math. Imaging Vis. 64 (9) (2022)
Lihao Liu, Zhening Huang, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. WBIR (2022)
Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. ECCV (19) (2022)
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Dynamical systems' based neural networks. CoRR (2022)
Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR (2022)
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation. Comput. Medical Imaging Graph. 95 (2022)
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
Your diffusion model secretly knows the dimension of the data manifold. CoRR (2022)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging with Equivariant Deep Learning. CoRR (2022)
Jan Oscar Cross-Zamirski, Guy B. Williams, Elizabeth Mouchet, Carola-Bibiane Schönlieb, Riku Turkki, Yinhai Wang
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels. CoRR (2022)
Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR (2022)
Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. BMVC (2022)
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Multi-modal learning for predicting the genotype of glioma. CoRR (2022)
Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA (2022)
Rihuan Ke, Carola-Bibiane Schönlieb
Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Madeleine S. Kotzagiannidis, Carola-Bibiane Schönlieb
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Erlend Skaldehaug Riis, Matthias J. Ehrhardt, G. R. W. Quispel, Carola-Bibiane Schönlieb
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. Found. Comput. Math. 22 (5) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carola-Bibiane Schönlieb