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Angelica I. Avilés-Rivero

Angelica I. Avilés

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Books and Theses

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2017
[b1]
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Angelica I. Avilés-Rivero:
Estimating and understanding motion : from diagnostic to robotic surgery. Polytechnic University of Catalonia, Spain, 2017

Journal Articles

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2025
[j24]
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Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025)
2024
[j23]
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Jing Zou, Youyi Song, Lihao Liu, Angelica I. Avilés-Rivero, Jing Qin:
Unsupervised lung CT image registration via stochastic decomposition of deformation fields. Comput. Medical Imaging Graph. 115: 102397 (2024)
[j22]
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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: 103047 (2024)
[j21]
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Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin:
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. Medical Image Anal. 94: 103142 (2024)
[j20]
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Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
The Missing U for Efficient Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
[j19]
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Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. Trans. Mach. Learn. Res. 2024 (2024)
[j18]
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Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. Trans. Mach. Learn. Res. 2024 (2024)
[j17]
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Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5306-5318 (2024)
2022
[j16]
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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)
[j15]
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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)
[j14]
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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)
[j13]
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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)
2021
[j12]
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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)
[j11]
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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)
[j10]
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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)
[j9]
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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)
[j8]
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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)
2020
[j7]
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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): 4180-4193 (2020)
[j6]
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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: 8043-8054 (2020)
2019
[j5]
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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: 39-48 (2019)
[j4]
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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): 6185-6197 (2019)
2018
[j3]
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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): 353-361 (2018)
[j2]
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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): 16:1-16:19 (2018)
2017
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Angelica I. Avilés, Samar M. Alsaleh, James K. Hahn, Alicia Casals:
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach. IEEE Trans. Haptics 10(3): 431-443 (2017)

Conference and Workshop Papers

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2024
[c37]
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Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CVPR 2024: 25606-25616
[c36]
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Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. ICML 2024
[c35]
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Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. ICML 2024
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Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised Propainter for Video Diminished Reality Inpainting. ISBI 2024: 1-5
2023
[c33]
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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: 10449-10458
[c32]
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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: 13154-13164
[c31]
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Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for fast MRI. ISBI 2023: 1-5
[c30]
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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: 3-12
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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: 95-105
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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: 177-189
2022
[c27]
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  - conf/geomedia/BekkersWA22
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Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Preface. GeoMedIA 2022: 1-2
[c26]
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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
[c25]
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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
[c24]
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Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. WACV 2022: 72-81
[c23]
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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
2020
[c22]
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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: 10158-10169
[c21]
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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: 187-197
2019
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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: 7303-7312
[c19]
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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: 592-595
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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: 504-512
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Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Martin J. Graves, Carole Le Guyader, Carola-Bibiane Schönlieb, Guy B. Williams:
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. SSVM 2019: 263-274
2018
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Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb:
Peekaboo-Where are the Objects? Structure Adjusting Superpixels. ICIP 2018: 3693-3697
2017
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Angelica I. Avilés, Samar M. Alsaleh, Alicia Casals:
Sight to touch: 3D diffeomorphic deformation recovery with mixture components for perceiving forces in robotic-assisted surgery. IROS 2017: 160-165
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Samar M. Alsaleh, Angelica I. Avilés, Alicia Casals, James K. Hahn:
Escaping specularity: recovering specular-free video sequences from rank-constrained data. SIGGRAPH Posters 2017: 78:1-78:2
2016
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Angelica I. Avilés, Thomas Widlak, Alicia Casals, Habib Ammari:
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data. EMBC 2016: 1082-1086
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Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals, James K. Hahn:
Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images. EMBC 2016: 1196-1199
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Angelica I. Avilés, Samar M. Alsaleh, Eduard Montseny, Pilar Sobrevilla, Alicia Casals:
A Deep-Neuro-Fuzzy approach for estimating the interaction forces in Robotic surgery. FUZZ-IEEE 2016: 1113-1119
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Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals, James K. Hahn:
Towards robust specularity detection and inpainting in cardiac images. Medical Imaging: Image-Guided Procedures 2016: 97861Q
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Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals:
Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery. Medical Imaging: Image-Guided Procedures 2016: 97861X
2015
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Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals:
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery. EMBC 2015: 1-4
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Samar M. Alsaleh, Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals, James K. Hahn:
Automatic and robust single-camera specular highlight removal in cardiac images. EMBC 2015: 675-678
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Angelica I. Avilés, Samar M. Alsaleh, Eduard Montseny, Alicia Casals:
V-ANFIS for Dealing with Visual Uncertainty for Force Estimation in Robotic Surgery. IFSA-EUSFLAT 2015
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Angelica I. Avilés, Samar M. Alsaleh, Pilar Sobrevilla, Alicia Casals:
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery. NER 2015: 86-89
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Josep Amat, Alicia Casals, E. Bergés, Angelica I. Avilés:
Challenges in the Design of Laparoscopic Tools. ROBOT (2) 2015: 463-475
2014
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Angelica I. Avilés, Pilar Sobrevilla, Alicia Casals:
Unconstrained ℓ1 - regularized minimization with interpolated transformations for heart motion compensation. EMBC 2014: 5109-5112
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Angelica I. Avilés, Arturo Marbán, Pilar Sobrevilla, Josep Fernández, Alicia Casals:
A recurrent neural network approach for 3D vision-based force estimation. IPTA 2014: 111-116
2013
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Angelica I. Avilés, Alicia Casals:
On Genetic Algorithms Optimization for Heart Motion Compensation. ROBOT (1) 2013: 237-244

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2022
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Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands. Proceedings of Machine Learning Research 194, PMLR 2022 [contents]
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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]

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2024
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Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Avilés-Rivero, Jing Qin, Shujun Wang:
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling. CoRR abs/2402.12694 (2024)
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Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR abs/2402.18451 (2024)
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Yijun Yang, Hongtao Wu, Angelica I. Avilés-Rivero, Yulun Zhang, Jing Qin, Lei Zhu:
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. CoRR abs/2403.07684 (2024)
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Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. CoRR abs/2403.09136 (2024)
[i55]
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  - journals/corr/abs-2403-12719
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Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb:
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. CoRR abs/2403.12719 (2024)
[i54]
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  - journals/corr/abs-2405-14338
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Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang:
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. CoRR abs/2405.14338 (2024)
[i53]
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  - journals/corr/abs-2405-17659
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Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024)
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  - journals/corr/abs-2406-02287
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Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised ProPainter for Video Diminished Reality Inpainting. CoRR abs/2406.02287 (2024)
[i51]
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  - journals/corr/abs-2406-02458
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Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. CoRR abs/2406.02458 (2024)
[i50]
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Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. CoRR abs/2407.05703 (2024)
[i49]
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Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning. CoRR abs/2407.08672 (2024)
[i48]
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  - journals/corr/abs-2408-00527
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Jakob Träuble, Lucy V. Hiscox, Curtis L. Johnson, Carola-Bibiane Schönlieb, Gabriele Kaminski Schierle, Angelica I. Avilés-Rivero:
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps. CoRR abs/2408.00527 (2024)
2023
[i47]
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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)
[i46]
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Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang:
ViGU: Vision GNN U-Net for Fast MRI. CoRR abs/2302.10273 (2023)
[i45]
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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)
[i44]
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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)
[i43]
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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)
[i42]
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  - journals/corr/abs-2303-10610
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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)
[i41]
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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)
[i40]
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  - journals/corr/abs-2306-14350
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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 abs/2306.14350 (2023)
[i39]
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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 abs/2308.01057 (2023)
[i38]
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  - journals/corr/abs-2309-13700
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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 abs/2309.13700 (2023)
[i37]
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  - journals/corr/abs-2310-20092
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Sergio Calvo-Ordoñez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Beyond U: Making Diffusion Models Faster & Lighter. CoRR abs/2310.20092 (2023)
[i36]
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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 abs/2311.10092 (2023)
[i35]
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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 abs/2311.13610 (2023)
[i34]
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  - journals/corr/abs-2311-13682
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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 abs/2311.13682 (2023)
2022
[i33]
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  - journals/corr/abs-2203-00157
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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)
[i32]
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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)
[i31]
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  - journals/corr/abs-2204-02399
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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)
[i30]
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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)
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  - journals/corr/abs-2211-06885
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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)
[i28]
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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)
[i27]
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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)
2021
[i26]
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  - journals/corr/abs-2101-07945
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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)
[i25]
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  - journals/corr/abs-2106-03755
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Hankui Peng, Angelica I. Avilés-Rivero, Carola-Bibiane Schoenlieb:
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation. CoRR abs/2106.03755 (2021)
[i24]
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Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. CoRR abs/2106.04527 (2021)
[i23]
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Dominik Kloepfer, Angelica I. Avilés-Rivero, Daniel Heydecker:
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings. CoRR abs/2107.10014 (2021)
2020
[i22]
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  - journals/corr/abs-2001-05317
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Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. CoRR abs/2001.05317 (2020)
[i21]
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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 abs/2002.09611 (2020)
[i20]
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  - journals/corr/abs-2003-06451
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Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero:
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification. CoRR abs/2003.06451 (2020)
[i19]
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  - journals/corr/abs-2004-10464
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Timothée Schmoderer, Angelica I. Avilés-Rivero, Veronica Corona, Noémie Debroux, Carola B. Schönlieb:
Learning Optical Flow for Fast MRI Reconstruction. CoRR abs/2004.10464 (2020)
[i18]
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  - journals/corr/abs-2008-06388
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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 abs/2008.06388 (2020)
[i17]
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  - journals/corr/abs-2010-00378
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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 abs/2010.00378 (2020)
[i16]
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  - journals/corr/abs-2011-08894
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Lihao Liu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Contrastive Registration for Unsupervised Medical Image Segmentation. CoRR abs/2011.08894 (2020)
[i15]
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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 abs/2012.00827 (2020)
[i14]
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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 abs/2012.05703 (2020)
2019
[i13]
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  - journals/corr/abs-1901-04240
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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 abs/1901.04240 (2019)
[i12]
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  - journals/corr/abs-1903-06548
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Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. CoRR abs/1903.06548 (2019)
[i11]
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  - journals/corr/abs-1906-08635
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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 abs/1906.08635 (2019)
[i10]
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  - journals/corr/abs-1907-10085
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Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb:
GraphX^NET-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR abs/1907.10085 (2019)
[i9]
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  - journals/corr/abs-1908-05911
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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 abs/1908.05911 (2019)
[i8]
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  - journals/corr/abs-1910-04794
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Jianchao Zhang, Angelica I. Avilés-Rivero, Daniel Heydecker, Xiosheng Zhuang, Raymond H. Chan, Carola-Bibiane Schönlieb:
Dynamic Spectral Residual Superpixels. CoRR abs/1910.04794 (2019)
[i7]
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  - journals/corr/abs-1912-03623
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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 abs/1912.03623 (2019)
[i6]
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  - journals/corr/abs-1912-07648
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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 abs/1912.07648 (2019)
[i5]
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  - journals/corr/abs-1912-07764
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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 abs/1912.07764 (2019)
2018
[i4]
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  - journals/corr/abs-1802-02796
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Georg Maierhofer, Daniel Heydecker, Angelica I. Avilés-Rivero, Samar M. Alsaleh, Carola-Bibiane Schönlieb:
Peekaboo - Where are the Objects? Structure Adjusting Superpixels. CoRR abs/1802.02796 (2018)
[i3]
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  - journals/corr/abs-1805-11589
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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 abs/1805.11589 (2018)
[i2]
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  - journals/corr/abs-1810-10828
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Angelica I. Avilés-Rivero, Guy B. Williams, Martin J. Graves, Carola-Bibiane Schoenlieb:
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction. CoRR abs/1810.10828 (2018)
2016
[i1]
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  - journals/corr/AvilesWCNA16
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Angelica I. Avilés, Thomas Widlak, Alicia Casals, Maartje M. Nillesen, Habib Ammari:
Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank-Topology-Preserving Approach. CoRR abs/1611.02730 (2016)

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