On Genetic Algorithms Optimization for Heart Motion Compensation. - Angelica I. Avilés; Alicia Casals (ROBOT (1), 2013)

Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation. - Angelica I. Avilés; Pilar Sobrevilla; Alicia Casals (EMBC, 2014)

A recurrent neural network approach for 3D vision-based force estimation. - Angelica I. Avilés; Arturo Marbán; Pilar Sobrevilla; Josep Fernández; Alicia Casals (IPTA, 2014)

Automatic and robust single-camera specular highlight removal in cardiac images. - Samar M. Alsaleh; Angelica I. Avilés; Pilar Sobrevilla; Alicia Casals; James K. Hahn (EMBC, 2015)

Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery. - Angelica I. Avilés; Samar M. Alsaleh; Pilar Sobrevilla; Alicia Casals (EMBC, 2015)

V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery. - Angelica I. Avilés; Samar M. Alsaleh; Eduard Montseny; Alicia Casals (IFSA-EUSFLAT, 2015)

Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery. - Angelica I. Avilés; Samar M. Alsaleh; Pilar Sobrevilla; Alicia Casals (NER, 2015)

Challenges in the Design of Laparoscopic Tools. - Josep Amat; Alicia Casals; E. Bergés; Angelica I. Avilés (ROBOT (2), 2015)

Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images. - Samar M. Alsaleh; Angelica I. Avilés; Pilar Sobrevilla; Alicia Casals; James K. Hahn (EMBC, 2016)

Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data. - Angelica I. Avilés; Thomas Widlak; Alicia Casals; Habib Ammari (EMBC, 2016)

A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery. - Angelica I. Avilés; Samar M. Alsaleh; Eduard Montseny; Pilar Sobrevilla; Alicia Casals (FUZZ-IEEE, 2016)

Towards robust specularity detection and inpainting in cardiac images. - Samar M. Alsaleh; Angelica I. Avilés; Pilar Sobrevilla; Alicia Casals; James K. Hahn (Image-Guided Procedures, 2016)

Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery. - Angelica I. Avilés; Samar M. Alsaleh; Pilar Sobrevilla; Alicia Casals (Image-Guided Procedures, 2016)

Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach. - Angelica I. Avilés; Thomas Widlak; Alicia Casals; Maartje M. Nillesen; Habib Ammari (CoRR, 2016)

Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery. - Angelica I. Avilés; Samar M. Alsaleh; Alicia Casals (IROS, 2017)

Escaping specularity: recovering specular-free video sequences from rank-constrained data. - Samar M. Alsaleh; Angelica I. Avilés; Alicia Casals; James K. Hahn (SIGGRAPH Posters, 2017)

Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach. - Angelica I. Avilés; Samar M. Alsaleh; James K. Hahn; Alicia Casals (IEEE Trans. Haptics, 2017)

Estimating and understanding motion : from diagnostic to robotic surgery. - Angelica I. Avilés-Rivero (2017)

Peekaboo-Where are the Objects? Structure Adjusting Superpixels. - Georg Maierhofer; Daniel Heydecker; Angelica I. Avilés-Rivero; Samar M. Alsaleh; Carola-Bibiane Schönlieb (ICIP, 2018)

Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions. - Angelica I. Avilés-Rivero; Samar M. Alsaleh; Alicia Casals (Int. J. Comput. Assist. Radiol. Surg., 2018)

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. - Daniel Heydecker; Georg Maierhofer; Angelica I. Avilés-Rivero; Qingnan Fan; Carola-Bibiane Schönlieb; Sabine Süsstrunk (CoRR, 2018)

Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. - Angelica I. Avilés-Rivero; Guy B. Williams; Martin J. Graves; Carola-Bibiane Schoenlieb (CoRR, 2018)

Sensory Substitution for Force Feedback Recovery: A Perception Experimental Study. - Angelica I. Avilés-Rivero; Samar M. Alsaleh; John Philbeck; Stella P. Raventos; Naji Younes; James K. Hahn; Alicia Casals (ACM Trans. Appl. Percept., 2018)

RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. - Ruoteng Li; Robby T. Tan; Loong Fah Cheong; Angelica I. Avilés-Rivero; Qingnan Fan; Carola Schönlieb (ICCV, 2019)

Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. - Philip Sellars; Angelica I. Avilés-Rivero; Nicolas Papadakis; David Coomes; Anita Faul; Carola-Bibiane Schönlieb (IGARSS, 2019)

GraphX $$^ mathbf{ small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. - Angelica I. Avilés-Rivero; Nicolas Papadakis; Ruoteng Li; Philip Sellars; Qingnan Fan; Robby T. Tan; Carola-Bibiane Schönlieb (MICCAI (6), 2019)

Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. - Veronica Corona; Angelica I. Avilés-Rivero; Noémie Debroux; Martin J. Graves; Carole Le Guyader; Carola-Bibiane Schönlieb; Guy B. Williams (SSVM, 2019)

ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic images. - Samar M. Alsaleh; Angelica I. Avilés-Rivero; James K. Hahn (Comput. Medical Imaging Graph., 2019)

Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. - Angelica I. Avilés-Rivero; Nicolas Papadakis; Ruoteng Li; Samar M. Alsaleh; Robby T. Tan; Carola-Bibiane Schönlieb (CoRR, 2019)

GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision. - Angelica I. Avilés-Rivero; Nicolas Papadakis; Ruoteng Li; Philip Sellars; Qingnan Fan; Robby T. Tan; Carola-Bibiane Schönlieb (CoRR, 2019)

Dynamic Spectral Residual Superpixels. - Jianchao Zhang; Angelica I. Avilés-Rivero; Daniel Heydecker; Xiosheng Zhuang; Raymond H. Chan; Carola-Bibiane Schönlieb (CoRR, 2019)

Deep Reflection Prior. - Qingnan Fan; Yingda Yin; Dongdong Chen 001; Yujie Wang; Angelica I. Avilés-Rivero; Ruoteng Li; Carola-Bibiane Schönlieb; Dani Lischinski; Baoquan Chen (CoRR, 2019)

Dim the Lights! - Low-Rank Prior Temporal Data for Specular-Free Video Recovery. - Samar M. Alsaleh; Angelica I. Avilés-Rivero; Noémie Debroux; James K. Hahn (CoRR, 2019)

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. - Daniel Heydecker; Georg Maierhofer; Angelica I. Avilés-Rivero; Qingnan Fan; Dongdong Chen 001; Carola-Bibiane Schönlieb; Sabine Süsstrunk (IEEE Trans. Image Process., 2019)

Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Carola-Bibiane Schönlieb; Hua Huang 001 (ICML, 2020)

The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification. - Marianne de Vriendt; Philip Sellars; Angelica I. Avilés-Rivero (UNSURE/GRAIL@MICCAI, 2020)

Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. - Philip Sellars; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (CoRR, 2020)

The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification. - Marianne de Vriendt; Philip Sellars; Angelica I. Avilés-Rivero (CoRR, 2020)

Learning Optical Flow for Fast MRI Reconstruction. - Timothée Schmoderer; Angelica I. Avilés-Rivero; Veronica Corona; Noémie Debroux; Carola B. Schönlieb (CoRR, 2020)

Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. - 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; et al. (CoRR, 2020)

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Hua Huang 001; Carola-Bibiane Schönlieb (CoRR, 2020)

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. - Philip Sellars; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (IEEE Trans. Geosci. Remote. Sens., 2020)

Controllable Image Processing via Adaptive FilterBank Pyramid. - Dongdong Chen 001; Qingnan Fan; Jing Liao 001; Angelica I. Avilés-Rivero; Lu Yuan; Nenghai Yu; Gang Hua 001 (IEEE Trans. Image Process., 2020)

LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. - Philip Sellars; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (CoRR, 2021)

Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings. - Dominik Kloepfer; Angelica I. Avilés-Rivero; Daniel Heydecker (CoRR, 2021)

Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction. - Angelica I. Avilés-Rivero; Noémie Debroux; Guy B. Williams; Martin J. Graves; Carola-Bibiane Schönlieb (Medical Image Anal., 2021)

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution. - Veronica Corona; Angelica I. Avilés-Rivero; Noémie Debroux; Carole Le Guyader; Carola-Bibiane Schönlieb (Medical Image Anal., 2021)

Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. - Jiulong Liu; Angelica I. Avilés-Rivero; Hui Ji; Carola-Bibiane Schönlieb (Medical Image Anal., 2021)

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. - 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; et al. (Nat. Mach. Intell., 2021)

Dynamic spectral residual superpixels. - Jianchao Zhang; Angelica I. Avilés-Rivero; Daniel Heydecker; Xiaosheng Zhuang; Raymond H. Chan; Carola-Bibiane Schönlieb (Pattern Recognit., 2021)

Preface. - Erik J. Bekkers; Jelmer M. Wolterink; Angelica I. Avilés-Rivero (GeoMedIA, 2022)

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. - Angelica I. Avilés-Rivero; Christina Runkel; Nicolas Papadakis; Zoe Kourtzi; Carola-Bibiane Schönlieb (MICCAI (3), 2022)

Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. - Lihao Liu; Chenyang Hong; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (MIUA, 2022)

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. - Hankui Peng; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (WACV, 2022)

You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration. - Lihao Liu; Zhening Huang; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (WBIR, 2022)

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation. - Lihao Liu; Zhening Huang; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2022)

TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. - Kaixuan Wei; Angelica I. Avilés-Rivero; Jingwei Liang; Ying Fu 001; Hua Huang 001; Carola-Bibiane Schönlieb (J. Mach. Learn. Res., 2022)

Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations. - Tao Wei; Angelica I. Avilés-Rivero; Shuo Wang 011; Yuan Huang 009; Fiona J. Gilbert; Carola-Bibiane Schönlieb; Chang Wen Chen (Medical Image Anal., 2022)

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. - Angelica I. Avilés-Rivero; Philip Sellars; Carola-Bibiane Schönlieb; Nicolas Papadakis (Pattern Recognit., 2022)

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. - Rihuan Ke; Angelica I. Avilés-Rivero; Saurabh Pandey; Saikumar Reddy; Carola-Bibiane Schönlieb (IEEE Trans. Image Process., 2022)

SCOTCH and SODA: A Transformer Video Shadow Detection Framework. - Lihao Liu; Jean Prost; Lei Zhu 003; Nicolas Papadakis; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CVPR, 2023)

Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. - Yijun Yang; Angelica I. Avilés-Rivero; Huazhu Fu; Ye Liu; Weiming Wang 002; Lei Zhu 003 (ICCV, 2023)

ViGU: Vision GNN U-Net for fast MRI. - Jiahao Huang; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Guang Yang 006 (ISBI, 2023)

CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? - Jiahao Huang; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Guang Yang 006 (MICCAI (10), 2023)

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. - Yijun Yang; Huazhu Fu; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Lei Zhu 003 (MICCAI (6), 2023)

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. - Yanqi Cheng; Lihao Liu; Shujun Wang; Yueming Jin; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (TML4H, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. - Jing Zou; Noémie Debroux; Lihao Liu; Jing Qin 001; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. - Shujun Wang; Angelica I. Avilés-Rivero; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2023)

Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. - Jiahao Huang; Pedro F. Ferreira; Lichao Wang; Yinzhe Wu 001; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Andrew D. Scott; Zohya Khalique; Maria Dwornik; Ramyah Rajakulasingam; Ranil De Silva; Dudley J. Pennell; et al. (CoRR, 2023)

MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. - Yijun Yang; Shujun Wang; Lihao Liu; Sarah Hickman; Fiona J. Gilbert; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

Beyond U: Making Diffusion Models Faster & Lighter. - Sergio Calvo-Ordoñez; Jiahao Huang; Lipei Zhang; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

Traffic Video Object Detection using Motion Prior. - Lihao Liu; Yanqi Cheng; Dongdong Chen 004; Jing He; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. - Zhenda Shen; Yanqi Cheng; Raymond H. Chan; Pietro Liò; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2023)

Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. - Yijun Yang; Hongtao Wu; Angelica I. Avilés-Rivero; Yulun Zhang 001; Jing Qin 001; Lei Zhu 003 (CVPR, 2024)

Semi-supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization. - Hongtao Wu; Yijun Yang; Angelica I. Avilés-Rivero; Jingjing Ren; Sixiang Chen; Haoyu Chen 003; Lei Zhu 003 (ECCV (10), 2024)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. - Andrey Bryutkin; Jiahao Huang; Zhongying Deng; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (ICML, 2024)

Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. - Guoqi Yu; Jing Zou; Xiaowei Hu 001; Angelica I. Avilés-Rivero; Jing Qin 001; Shujun Wang (ICML, 2024)

Optimised Propainter for Video Diminished Reality Inpainting. - Pengze Li; Lihao Liu; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (ISBI, 2024)

LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. - Huihui Xu; Yijun Yang; Angelica I. Avilés-Rivero; Guang Yang 006; Jing Qin 001; Lei Zhu 003 (MICCAI (4), 2024)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. - Lipei Zhang; Yanqi Cheng; Lihao Liu; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (MICCAI (12), 2024)

Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models. - Yi Zhang 109; Ke Yu; Angelica I. Avilés-Rivero; Jiyuan Jia; Yushun Tang; Zhihai He (ACM Multimedia, 2024)

Unsupervised lung CT image registration via stochastic decomposition of deformation fields. - Jing Zou; Youyi Song; Lihao Liu; Angelica I. Avilés-Rivero; Jing Qin 001 (Comput. Medical Imaging Graph., 2024)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. - Jiahao Huang; Liutao Yang; Fanwen Wang; Yinzhe Wu 001; Yang Nan 002; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (CoRR, 2024)

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. - Angelica I. Avilés-Rivero; Chun-Wun Cheng; Zhongying Deng; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2024)

MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. - Jiuming Liu; Jinru Han; Lihao Liu; Angelica I. Avilés-Rivero; Chaokang Jiang; Zhe Liu 022; Hesheng Wang 001 (CoRR, 2024)

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. - Jiahao Huang; Liutao Yang; Fanwen Wang; Yang Nan 002; Weiwen Wu; Chengyan Wang; Kuangyu Shi; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (CoRR, 2024)

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. - Chaoyan Huang; Zhongming Wu; Yanqi Cheng; Tieyong Zeng; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2024)

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning. - Yi Zhang 109; Chun-Wun Cheng; Ke Yu; Zhihai He; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2024)

Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps. - Jakob Träuble; Lucy V. Hiscox; Curtis L. Johnson; Carola-Bibiane Schönlieb; Gabriele Kaminski Schierle; Angelica I. Avilés-Rivero (CoRR, 2024)

Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs. - Chun-Wun Cheng; Jiahao Huang; Yi Zhang 109; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2024)

You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors. - Yanqi Cheng; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2024)

STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. - Jun Lyu; Shuo Wang 011; Yapeng Tian; Jing Zou; Shunjie Dong; Chengyan Wang; Angelica I. Avilés-Rivero; Jing Qin 001 (Medical Image Anal., 2024)

The Missing U for Efficient Diffusion Models. - Sergio Calvo-Ordoñez; Chun-Wun Cheng; Jiahao Huang; Lipei Zhang; Guang Yang 006; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Continuous U-Net: Faster, Greater and Noiseless. - Chun-Wun Cheng; Christina Runkel; Lihao Liu; Raymond H. Chan; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Single-Shot Plug-and-Play Methods for Inverse Problems. - Yanqi Cheng; Lipei Zhang; Zhenda Shen; Shujun Wang; Lequan Yu; Raymond H. Chan; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. - Zhongying Deng; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps. - Jakob Träuble; Lucy V. Hiscox; Curtis L. Johnson; Carola-Bibiane Schönlieb; Gabriele Kaminski Schierle; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. - Philip Sellars; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations. - Yi Zhang 109; Chun-Wun Cheng; Junyi He; Zhihai He; Carola-Bibiane Schönlieb; Yuyan Chen; Angelica I. Avilés-Rivero (AAAI, 2025)

Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. - Jiuming Liu; Jinru Han; Lihao Liu; Angelica I. Avilés-Rivero; Chaokang Jiang; Zhe Liu 022; Hesheng Wang 001 (CVPR, 2025)

Motion Constrained Point Cloud Matching for Maritime Tracking. - Nicholas Dalhaug; Martin Baerveldt; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Annette Stahl; Rudolf Mester; Edmund Førland Brekke (IEEE Access, 2025)

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. - Jiahao Huang; Liutao Yang; Fanwen Wang; Yinzhe Wu 001; Yang Nan 002; Weiwen Wu; Chengyan Wang; Kuangyu Shi; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (Medical Image Anal., 2025)

Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation. - Jing Zou; Noémie Debroux; Lihao Liu; Jing Qin 001; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Medical Image Anal., 2025)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction. - Liutao Yang; Jiahao Huang; Yingying Fang; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Daoqiang Zhang; Guang Yang 006 (IEEE Trans. Instrum. Meas., 2025)

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey. - Amer Essakine; Yanqi Cheng; Chun-Wun Cheng; Lipei Zhang; Zhongying Deng; Lei Zhu 003; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (Trans. Mach. Learn. Res., 2025)

Contrastive Registration for Unsupervised Medical Image Segmentation. - Lihao Liu; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb (IEEE Trans. Neural Networks Learn. Syst., 2025)

ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting. - Guoqi Yu; Yaoming Li; Juncheng Wang; Xiaoyu Guo; Angelica I. Avilés-Rivero; Tong Yang 003; Shujun Wang (CoRR, 2025)

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. - Zhongying Deng; Yanqi Cheng; Lihao Liu; Shujun Wang; Rihuan Ke; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (IEEE Trans. Intell. Transp. Syst., 2025)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation. - Chun-Wun Cheng; Yining Zhao; Yanqi Cheng; Javier Montoya; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2025)

RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement. - Jiahao Huang; Fanwen Wang; Pedro F. Ferreira; Haosen Zhang; Yinzhe Wu 001; Zhifan Gao; Lei Zhu 003; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Andrew D. Scott; Zohya Khalique; Maria Dwornik; et al. (CoRR, 2025)

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis. - Zhongying Deng; Haoyu Wang; Ziyan Huang; Lipei Zhang; Angelica I. Avilés-Rivero; Chaoyu Liu; Junjun He; Zoe Kourtzi; Carola-Bibiane Schönlieb (CoRR, 2025)

Deep Spectral Prior. - Yanqi Cheng; Tieyong Zeng; Pietro Lio; Carola-Bibiane Schönlieb; Angelica I. Avilés-Rivero (CoRR, 2025)

DiffMIC-v2: Medical Image Classification via Improved Diffusion Network. - Yijun Yang; Huazhu Fu; Angelica I. Avilés-Rivero; Zhaohu Xing; Lei Zhu 003 (IEEE Trans. Medical Imaging, 2025)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets. - Mikhail Kennerley; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Robby T. Tan (CoRR, 2025)

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction. - Zhenxuan Zhang; Lipei Zhang; Yanqi Cheng; Zi Wang 005; Fanwen Wang; Haosen Zhang; Yue Yang; Yinzhe Wu 001; Jiahao Huang; Angelica I. Avilés-Rivero; Zhifan Gao; Guang Yang 006; et al. (CoRR, 2025)

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting. - Huibo Xu; Likang Wu; Xianquan Wang; Haoning Dang; Chun-Wun Cheng; Angelica I. Avilés-Rivero; Qi Liu (CoRR, 2025)