Angelica I. Avilés-Rivero

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 80

Top Topics

Top Venues

Medical Image Anal.

IEEE Trans. Image Process.

Publications

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, 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. Medical Image Anal. 92 (2024)
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)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for fast MRI. ISBI (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)
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)
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)
Shujun Wang, Angelica I. Avilés-Rivero, Zoe Kourtzi, Carola-Bibiane Schönlieb
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. 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)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR (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)
Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. CoRR (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)
Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. ICCV (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for Fast MRI. 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Erik Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero
Preface. GeoMedIA (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)
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 (2022)
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 (2022)
Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. WACV (2022)
Dominik Kloepfer, Angelica I. Avilés-Rivero, Daniel Heydecker
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings. CoRR (2021)
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) (2021)
Angelica I. Avilés-Rivero, Noémie Debroux, Guy 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 (2021)
Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schoenlieb
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb
Dynamic spectral residual superpixels. Pattern Recognit. 112 (2021)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. CoRR (2021)
Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR (2020)
Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification. UNSURE/GRAIL@MICCAI (2020)
Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. ICML (2020)
Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. CoRR (2020)
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. CoRR (2020)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58 (6) (2020)
T. Schmoderer, Angelica I. Avilés-Rivero, Veronica Corona, Noémie Debroux, Carola B. Schönlieb
Learning Optical Flow for Fast MRI Reconstruction. CoRR (2020)
Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification. CoRR (2020)
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, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR (2020)
Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. CoRR (2020)
Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. CoRR (2020)
Dongdong Chen, Qingnan Fan, Jing Liao, Angelica I. Avilés-Rivero, Lu Yuan, Nenghai Yu, Gang Hua
Controllable Image Processing via Adaptive FilterBank Pyramid. IEEE Trans. Image Process. 29 (2020)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. CoRR (2020)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR (2019)
Qingnan Fan, Yingda Yin, Dongdong Chen, Yujie Wang, Angelica I. Avilés-Rivero, Ruoteng Li, Carola-Bibiane Schönlieb, Dani Lischinski, Baoquan Chen
Deep Reflection Prior. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. CoRR (2019)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. MICCAI (6) (2019)
Samar M. Alsaleh, Angelica I. Avilés-Rivero, Noémie Debroux, James K. Hahn
Dim the Lights! - Low-Rank Prior Temporal Data for Specular-Free Video Recovery. CoRR (2019)
Ruoteng Li, Robby T. Tan, Loong Fah Cheong, Angelica I. Avilés-Rivero, Qingnan Fan, Carola Schönlieb
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect. ICCV (2019)
Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Dongdong Chen, Carola-Bibiane Schönlieb, Sabine Süsstrunk
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. IEEE Trans. Image Process. 28 (12) (2019)
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. CoRR (2019)
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. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS (2019)
Samar M. Alsaleh, Angelica I. Avilés-Rivero, James K. Hahn
ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic images. Comput. Medical Imaging Graph. 73 (2019)
Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb
Dynamic Spectral Residual Superpixels. CoRR (2019)
Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Martin J. Graves, Carole Le Guyader, Carola-Bibiane Schönlieb, Guy Williams
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. SSVM (2019)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M. Alsaleh, Robby T. Tan, Carola-Bibiane Schönlieb
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. CoRR (2019)
Daniel Heydecker, Georg Maierhofer, Angelica I. Avilés-Rivero, Qingnan Fan, Carola-Bibiane Schönlieb, Sabine Süsstrunk
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal. CoRR (2018)
Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb
Peekaboo - Where are the Objects? Structure Adjusting Superpixels. CoRR (2018)
Angelica I. Avilés-Rivero, Samar M. Alsaleh, John Philbeck, Stella P. Raventos, Naji Younes, James K. Hahn, Alicia Casals
Sensory Substitution for Force Feedback Recovery: A Perception Experimental Study. ACM Trans. Appl. Percept. 15 (3) (2018)
Angelica I. Avilés-Rivero, Samar M. Alsaleh, Alicia Casals
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions. Int. J. Comput. Assist. Radiol. Surg. 13 (3) (2018)
Angelica I. Avilés-Rivero, Guy Williams, Martin J. Graves, Carola-Bibiane Schoenlieb
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. CoRR (2018)
Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb
Peekaboo-Where are the Objects? Structure Adjusting Superpixels. ICIP (2018)