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ORCIDCarola-Bibiane Schönlieb
Carola-Bibiane Schoenlieb – Carola Schönlieb – Carola B. Schönlieb
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- affiliation: University of Cambridge, UK
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2020 – today
- 2023
[j69]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): 739-752 (2023)- [j68]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): 134-147 (2023) - [j67]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): 164-182 (2023) - [j66]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): 332-335 (2023) - [j65]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: 676-689 (2023) - [c43]Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann:
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM 2023: 187-209 - [i138]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 abs/2302.00626 (2023) - [i137]Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb:
Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR abs/2302.04107 (2023) - [i136]Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for Fast MRI. CoRR abs/2302.10273 (2023) - [i135]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 abs/2302.12835 (2023) - [i134]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 abs/2303.03794 (2023) - [i133]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 abs/2303.06274 (2023) - [i132]Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR abs/2303.07271 (2023) - [i131]Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR abs/2303.08113 (2023) - [i130]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 abs/2303.08863 (2023) - [i129]Shujun Wang, Angelica I. Avilés-Rivero, Zoe Kourtzi, Carola-Bibiane Schönlieb:
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. CoRR abs/2303.10390 (2023) - [i128]Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu:
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR abs/2303.10610 (2023) - [i127]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 abs/2304.00996 (2023) - [i126]Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang:
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR abs/2304.08342 (2023) - [i125]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb:
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. CoRR abs/2304.12141 (2023) - 2022
- [j64]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: 102026 (2022) - [j63]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): 1351-1394 (2022) - [j62]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j61]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): 968-992 (2022) - [j60]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: 16:1-16:48 (2022) - [j59]Derek Driggs, Jingwei Liang, Carola-Bibiane Schönlieb:
On Biased Stochastic Gradient Estimation. J. Mach. Learn. Res. 23: 24:1-24:43 (2022) - [j58]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: 102618 (2022) - [j57]Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191(2): 671-715 (2022) - [j56]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j55]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5796-5812 (2022) - [j54]Yutong Chen, Carola-Bibiane Schönlieb, Pietro Liò, Tim Leiner, Pier Luigi Dragotti, Ge Wang, Daniel Rueckert, David N. Firmin, Guang Yang:
AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis. Proc. IEEE 110(2): 224-245 (2022) - [j53]Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. 122: 108274 (2022) - [j52]Jingwei Liang, Tao Luo, Carola-Bibiane Schönlieb:
Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter, and Greedier. SIAM J. Sci. Comput. 44(3): 1069- (2022) - [j51]Madeleine S. Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j50]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: 1805-1815 (2022) - [c42]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: 1071 - [c41]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: 565-582 - [c40]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP 2022: 3788-3792 - [c39]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: 1-4 - [c38]Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang:
Focal Attention Networks: Optimising Attention for Biomedical Image Segmentation. ISBI 2022: 1-5 - [c37]Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu:
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. CMMCA@MICCAI 2022: 110-120 - [c36]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: 717-727 - [c35]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. MIUA 2022: 130-138 - [c34]Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. WACV 2022: 72-81 - [c33]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: 190-193 - [e1]Guang Yang, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb:
Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Lecture Notes in Computer Science 13413, Springer 2022, ISBN 978-3-031-12052-7 [contents] - [i124]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 abs/2201.05530 (2022) - [i123]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i122]Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe:
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. CoRR abs/2202.04965 (2022) - [i121]Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. CoRR abs/2203.00157 (2022) - [i120]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 abs/2203.04013 (2022) - [i119]Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Predicting conversion of mild cognitive impairment to Alzheimer's disease. CoRR abs/2203.04725 (2022) - [i118]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 abs/2203.05684 (2022) - [i117]Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb, Alessandro Launaro:
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders. CoRR abs/2203.07437 (2022) - [i116]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 abs/2203.10852 (2022) - [i115]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 abs/2204.02399 (2022) - [i114]Tamara G. Grossmann, Sören Dittmer, Yury Korolev, Carola-Bibiane Schönlieb:
Unsupervised Learning of the Total Variation Flow. CoRR abs/2206.04406 (2022) - [i113]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned reconstruction with convergence guarantees. CoRR abs/2206.05431 (2022) - [i112]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 abs/2206.08478 (2022) - [i111]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Non-Uniform Diffusion Models. CoRR abs/2207.09786 (2022) - [i110]Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR abs/2208.01631 (2022) - [i109]Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb:
Joint reconstruction-segmentation on graphs. CoRR abs/2208.05834 (2022) - [i108]Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Accelerating Deep Unrolling Networks via Dimensionality Reduction. CoRR abs/2208.14784 (2022) - [i107]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - [i106]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 abs/2209.07819 (2022) - [i105]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 abs/2209.08647 (2022) - [i104]Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Dynamical systems' based neural networks. CoRR abs/2210.02373 (2022) - [i103]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 abs/2210.13191 (2022) - [i102]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 abs/2211.05205 (2022) - [i101]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 abs/2211.06885 (2022) - [i100]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR abs/2211.09593 (2022) - [i99]Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. CoRR abs/2211.09620 (2022) - [i98]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 abs/2211.14212 (2022) - [i97]Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb:
Your diffusion model secretly knows the dimension of the data manifold. CoRR abs/2212.12611 (2022) - 2021
- [j49]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy. Comput. Biol. Medicine 137: 104815 (2021) - [j48]Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek:
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. 208: 106261 (2021) - [j47]Jiulong Liu, Angelica I. Avilés-Rivero, Hui Ji, Carola-Bibiane Schönlieb:
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. Medical Image Anal. 68: 101930 (2021) - [j46]Angelica I. Avilés-Rivero, Noémie Debroux, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schönlieb:
Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. Medical Image Anal. 68: 101933 (2021) - [j45]Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb:
Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. Medical Image Anal. 68: 101941 (2021) - [j44]Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3(3): 199-217 (2021) - [j43]Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li:
Radiological tumour classification across imaging modality and histology. Nat. Mach. Intell. 3(9): 787-798 (2021) - [j42]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j41]Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic spectral residual superpixels. Pattern Recognit. 112: 107705 (2021) - [j40]Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge:
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14(1): 92-127 (2021) - [j39]Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14(2): 814-843 (2021) - [j38]Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14(4): 1932-1970 (2021) - [j37]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30: 3555-3567 (2021) - [c32]Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen:
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) 2021: 124-139 - [c31]Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price:
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) 2021: 140-150 - [c30]Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb:
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. DGM4MICCAI/DALI@MICCAI 2021: 103-111 - [c29]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS 2021: 21413-21425 - [c28]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM 2021: 540-552 - [i96]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. CoRR abs/2101.07945 (2021) - [i95]Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb:
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR abs/2101.08757 (2021) - [i94]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation. CoRR abs/2102.04525 (2021) - [i93]Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR abs/2102.06496 (2021) - [i92]Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. CoRR abs/2102.11504 (2021) - [i91]Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance). CoRR abs/2103.01678 (2021) - [i90]Maria L. Hänel, Carola-Bibiane Schönlieb:
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement. CoRR abs/2103.11210 (2021) - [i89]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR abs/2103.16151 (2021) - [i88]Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb:
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. CoRR abs/2104.13268 (2021) - [i87]Julian D. Gilbey, Carola-Bibiane Schönlieb:
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images. CoRR abs/2105.04515 (2021) - [i86]Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo:
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy. CoRR abs/2105.07467 (2021) - [i85]Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb:
CAFLOW: Conditional Autoregressive Flows. CoRR abs/2106.02531 (2021) - [i84]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR abs/2106.03538 (2021) - [i83]