MATH+ML+X Lab Aviles-Rivero Lab

Preprint

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
Don’t Fix the Basis – Learn It: Spectral Representation with Adaptive Basis Learning for PDEs
X Zhao and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
CATO: Charted Attention for Neural PDE Operators
C-W Cheng, S Wang, C-B Schönlieb and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
SpectraKAN: Conditioning Spectral Operators
C-W Cheng, C-B Schönlieb and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
Product Interaction: An Algebraic Formalism for Deep Learning Architectures
H Dong, C-W Cheng and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior
Y Cheng , CW Cheng , J Denholm , T Lima , J Montoya-Zegarra, R Goodwin, C-B Schonlieb and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
LEGATO: Good Identity Unlearning Is Continuous
Q Chen*, C-W Cheng*, X Su, H Xu, X Lin, S You, AI Aviles-Rivero and Y Chen
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
CW Cheng, B Dong, C-B Schönlieb and AI Aviles-Rivero
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting
H Xu, L Wu, X Wang, H Dang, CW Cheng AI Aviles-Rivero and Q Liu
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
Deep Spectral Prior
Y Cheng, T Zeng, P Lio, C-B Schönlieb and AI Aviles-Rivero
Arxiv ||
Project Webpage
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Z Deng, H Wang, Z Huang, Lipei Zhang, AI Aviles-Rivero, Chaoyu Liu, Junjun He, Zoe Kourtzi, and C-B Schönlieb
Arxiv
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
Enhancing Brain Age Prediction and Neurodegeneration Detection with Contrastive Learning on Regional Biomechanical Properties
J. Träuble, L.V. Hiscox, C. Johnson, AI Aviles-Rivero, C.B. Schönlieb, G.S. Kaminski Schierle
Arxiv
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
J Huang, F Wang, P Ferreira, H Zhang, Y Wu, Z Gao, L Zhu, AI Aviles-Rivero, …, …, and S Nielles-Vallespin
Arxiv
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
G Yu, Y Li, J Wang, X Guo, AI Aviles-Rivero, T Yang, S Wang
Arxiv
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors
Y Cheng, C–B Schönlieb and AI Aviles-Rivero
Arxiv
Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging
Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging
TC Chow, C Huang, Z Wu, T Zeng and AI Aviles-Rivero
Arxiv
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps
J Trauble, L Hiscox, C Johnson, CB Schönlieb, GK Schierle and AI Aviles-Rivero
Arxiv
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Y Zhang, C-W Cheng, K Yu, Z He, CB Schönlieb and AI Aviles-Rivero
Arxiv
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
L Yang, J Huang, Y Fang, AI Aviles-Rivero, C-B Schonlieb, D Zhang and G Yang
Arxiv
Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosis
Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosis
AI Aviles-Rivero, CW Cheng, Z Deng, Z Kourtzi and C-B Schönlieb
Arxiv
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
J Huang, L Yang, F Wang, Y Wu, Y Nan, AI Aviles-Rivero, C-B Schönlieb, D Zhang, G Yang
Arxiv
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen*, Y Cheng*, RH Chan, P Lio, C-B Schönlieb, AI Aviles-Rivero
Arxiv
Traffic Video Object Detection using Motion Prior
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Lio, C-B Schönlieb, AI Aviles-Rivero
Arxiv
MammoDG
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Y Yang, S Wang, L Liu, S Hickman, FJ Gilbert, C-B Schönlieb, AI Aviles-Rivero
Arxiv
HGIB
HGIB: Prognosis for Alzheimer’s Disease via Hypergraph Information Bottleneck
S Wang, AI Aviles-Rivero, Z Kourtzi, C-B Schönlieb
Arxiv
Homeomorphic Image Registration
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
Arxiv
PC-SwinMorph
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation
L Liu, Z Huang, P Lio, C-B Schönlieb, AI Aviles-Rivero
Arxiv
1graphd
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
AI Aviles-Rivero, N. Papadakis, R. Li, P Sellars, SM. Alsaleh, R. T Tan, C-B Schönlieb
Arxiv
DeepWalkers
Delving into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
D Kloepfer, AI Aviles-Rivero, D Heydecker
Arxiv
deepRprior
Deep Reflection Prior
Y Yin, Q Fan, D Chen, Y Wang, AI Aviles-Rivero, R Li, C-B Schönlieb, D Lischinsky, B Chen
Arxiv
deepSSLv55
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
Arxiv
dimf
Dim the Lights! — Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
Arxiv

2026

Genuine Knowledge from Practice
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
Y Xia and AI Aviles-Rivero
ICML 2026
Arxiv
ICML
A Latent Diffusion for Stable Frame Interpolation
A Latent Diffusion for Stable Frame Interpolation
J Yu, Z Sun, KP Alexandridis, AI Aviles-Rivero and J Yang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Journal-Link
TNNLS
Genuine Knowledge from Practice
ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
C-W Cheng, Y Cheng, P Jing, G Yang, C-B Schönlieb and AI Aviles-Rivero
MICCAI 2026 early accept
Arxiv
MICCAI
Genuine Knowledge from Practice
Mind the Gap: Transferring Labels to Align Object Detection Datasets
M Kennerley, AI Aviles-Rivero, C–B Schönlieb and RT Tan
CVPR 2026
Arxiv
CVPR
Genuine Knowledge from Practice
Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
G Yu, J Wang, C Yang, J Qin, AI Aviles-Rivero, and S Wang
ICLR 2026 Oral Presentation
Arxiv
ICLR
Genuine Knowledge from Practice
A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs
X Ding, R Sun, Y Zhang, X Yan,Y Zhou, K Huang, S Fu, AI Aviles-Rivero, C Xie and Y Zhu.
AAAI 2026
Arxiv
AAAI
Genuine Knowledge from Practice
Moving Beyond Functional Connectivity: Time-Series Modeling for fMRI-Based Brain Disorder Classification
G Yu, X Hu, AI Aviles-Rivero, A Qiu and S Wang,
IEEE Transactions on Medical Imaging
Journal-Link
TMI
Genuine Knowledge from Practice
Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models
Y Zhang, C-W Cheng, AI Aviles-Rivero, Z He, L-J Zhang
ICASSP 2026
Arxiv
ICASSP

2025

Genuine Knowledge from Practice
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
CW Cheng, J Huang, Y Zhang, G Yang, C–B Schönlieb and AI Aviles-Rivero
Journal of Computational Physics
Journal
Arxiv
JCP
Genuine Knowledge from Practice
Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning
Y Zhang, CW Cheng, J He, K Yu, Y Tang, C–B Schonlieb, Z He, and AI Aviles-Rivero
IEEE Transactions on Multimedia
Journal
Arxiv
IEEE TMM
Genuine Knowledge from Practice
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
Y Wang, ST Sathujoda, K Sawicki, K Gandhi, AI Aviles-Rivero and PG Lagoudakis
Communications Physics Nature
Arxiv
Nature
Genuine Knowledge from Practice
Brain age prediction and early neurodegeneration detection using contrastive learning on brain biomechanics: a retrospective, multicentre study
J Träuble, LV Hiscox, CL Johnson, AI Aviles-Rivero, C–B Schönlieb and GS Kaminski Schierle
eBioMedicine – The Lancet Discovery Science
Arxiv
LANCET
Genuine Knowledge from Practice
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
C Huang, Z Wu, Y Cheng, T Zheng, C–B Schönlieb and AI Aviles-Rivero
SIAM Journal on Mathematics of Data Science (SIMODS)
Arxiv
SIAM
Genuine Knowledge from Practice
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
L Zhang, R Sun, Z Deng, Y Cheng, C-B Schönlieb, and AI Aviles-Rivero
NeurIPS 2025
Arxiv
NeurIPS
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
S Fu, R Sun, X Ding, J Dong, Y Yang, Y Zhu, MC Ren, D Deng, AI Aviles-Rivero, S Cui and Z Li
IEEE BIBM 2025
Arxiv
BIBM
Genuine Knowledge from Practice
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
CW Cheng*, Y Zhao*, Y Cheng, J Montoya, C-B Schönlieb, and AI Aviles-Rivero
MICCAI 2025
Arxiv
MICCAI
Genuine Knowledge from Practice
Motion Constrained Point Cloud Matching for Maritime Tracking
N Dalhaug, M Baerveldt, AI Aviles-Rivero, C-B Schönlieb, A Stahl, R Mester, E Førland Brekke
IEEE Access
Journal
IEEE Access
Genuine Knowledge from Practice
MAMBA4D: Efficient Long-Sequence Point CloudVideo Understanding with DisentangledSpatial-Temporal State Space Models
J Liu, J Han, L Liu, AI Aviles-Rivero, C Jiang, Z Liu and H Wang
CVPR 2025
Arxiv
CVPR
Single-Shot Plug-and-Play Methods for Inverse Problems.
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
A Essakine*, Y Cheng*, CW Cheng, L Zhang, Z Deng, L Zhu, C–B Schönlieb and AI Aviles-Rivero
Transactions on Machine Learning Research (TMLR)
Arxiv
TMLR
TrafficCAM
DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
Y Yang, H Fu, AI Aviles-Rivero, Z Xing, and L Zhu
TMI
Arxiv
TMI
TrafficCAM
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Y Zhang*, CW Cheng*, J He, Z He, C-B Schönlieb, Y Chen and AI Aviles-Rivero
(*Equal Contribution)
AAAI 2025
Arxiv
AAAI

2024

TrafficCAM
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, C-B Schönlieb, AI Aviles-Rivero
IEEE Transactions on Intelligent Transportation Systems
Arxiv
Website
T-ITS
Single-Shot Plug-and-Play Methods for Inverse Problems.
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
TMLR
Arxiv
TMLR
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Lio, C-B Schönlieb, AI Aviles-Rivero
ACM Multimedia 2024
Arxiv
ACM
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba.
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
J Huang, L Yang, J F Zhang, A I Aviles-Rivero, C-B Schönlieb, G Yang
Medical Image Analysis (MedIA)
Arxiv
Journal
MedAI
Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models.
Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models
Y Zhang, K Yu, AI Aviles-Rivero, J Jia, Y Tang, Z He
ACM Multimedia 2024
Arxiv
ACM
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation.
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
L Zhang, Y Cheng, L Liu, C-B Schönlieb, AI Aviles-Rivero
MICCAI 2024
Arxiv
MICCAI
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization.
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
H Wu, Y Yang, AI Aviles-Rivero, J Ren, S Chen, H Chen, L Zhu
ECCV 2024
Arxiv
ECCV
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos.
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
H Xu*, Y Yang*, AI Aviles-Rivero, G Yang, J Qin, L Zhu
MICCAI 2024
Arxiv
MICCAI
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations.
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin*, J Huang*, Z Deng, G Yang, C Schönlieb, AI Aviles-Rivero
ICML 2024
Arxiv
ICML
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling.
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
G Yu, J Zou, X Hu, AI Aviles-Rivero, J Qin, S Wang
ICML 2024
Arxiv
ICML
Optimised Propainter for Video Diminished Reality Inpainting.
Optimised Propainter for Video Diminished Reality Inpainting
P Li*, L Liu*, C Schönlieb, AI Aviles-Rivero
Grand Challenge Dreaming ISBI 2024. Best Paper Award.
Arxiv
ISBI
The Missing U for Efficient Diffusion Models.
The Missing U for Efficient Diffusion Models
S Calvo-Ordonez, C-W Cheng, J Huang, L Zhang, G Yang, C Schönlieb, AI Aviles-Rivero
TMLR
Arxiv
TMLR
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution.
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution
J Lyu, S Wang, Y Tian, J Zou, S Dong, C Wang, AI Aviles-Rivero, J Qin
Medical Image Analysis
Journal
MIA
Continuous U-Net: Faster, Greater and Noiseless
Continuous U-Net: Faster, Greater and Noiseless
CW Cheng, C Runkel*, L Liu*, RH Chan, C-B Schönlieb, AI Aviles-Rivero
TMLR
Arxiv
Website
TMLR
Genuine Knowledge from Practice
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Y Yang, H Wu, AI Aviles-Rivero, Y Zhang, J Qin, L Zhu
CVPR 2024
Arxiv
CVPR
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
J Huang, PF Ferreira, L Wang, Y Wu, AI Aviles-Rivero, C-B Schönlieb, ..., G Yang
Scientific Reports-Nature
Journal
Arxiv
Nature
NorMatch
NorMatch: Matching Normalizing Flows with Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schönlieb, AI Aviles-Rivero
TMLR
Journal
Arxiv
Code Repository
TMLR
CoNIC Challenge
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
S Graham, ..., L Liu, AI Aviles-Rivero, ..., C-B Schönlieb, ..., NM Rajpoot
Medical Image Analysis
Journal
Code Repository
MIA

2023

Contrastive Registration for Unsupervised Medical Image Segmentation
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, and C-B Schönlieb
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Arxiv
Journal
Code Repository
TNNLS
Beyond U: Making Diffusion Models Faster & Lighter
Beyond U: Making Diffusion Models Faster & Lighter
S Calvo-Ordonez, J Huang, L Zhang, G Yang, C-B Schonlieb, AI Aviles-Rivero
NeurIPS 2023 W/ on Diffusion Models
Arxiv
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
Y Yang, AI Aviles-Rivero, Y Liu, H Fu, W Wang, L Zhu
ICCV 2023
Arxiv
Conference
Code Repository
ICCV
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
J Huang, AI Aviles-Rivero, C-B Schönlieb, G Yang
MICCAI 2023
Arxiv
Conference
MICCAI
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Y Yang, H Fu, AI Aviles-Rivero, C-B Schönlieb, L Zhu
MICCAI 2023 (early accept)
Arxiv
Conference
Code Repository
MICCAI
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
ICLR 2023 W-TML4H
Arxiv
Website
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Lio, C-B Schönlieb, AI Aviles-Rivero
CVPR 2023
Arxiv
Conference
Website
CVPR
ViGU: Vision GNN U-Net for Fast MRI
ViGU: Vision GNN U-Net for Fast MRI
J Huang, AI Aviles-Rivero, CB Schonlieb, G Yang
ISBI 2023
Arxiv
ISBI
Gray Whale Detection in Satellite Imagery using Deep Learning
Gray Whale Detection in Satellite Imagery using Deep Learning
KM Green, ..., AI Aviles-Rivero, ..., CB Schonlieb, ... and JA Jackson
Remote Sensing in Ecology and Conservation
Journal

2022

Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
T Wei, AI Aviles-Rivero, S Wang, Y Huang, FJ Gilbert, CB Schonlieb, CW Chen
Medical Image Analysis (MedIA)
Arxiv
Paper
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P Sellars, AI Aviles-Rivero and CB Schonlieb
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Arxiv
Paper
Code
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi and C-B Schönlieb
MICCAI 2022 (early accept)
Arxiv
Paper
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
R Ke*, AI Aviles-Rivero*, S Pandey, S Reddy and C-B Schönlieb (*Equal Contribution)
IEEE Transactions on Image Processing
Arxiv
Paper
Code
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
L Liu, C Hong, AI Aviles-Rivero and C-B Schönlieb
MIUA 2022 Preprint Version
Arxiv
Challenge
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems
K. Wei, AI Aviles-Rivero, J Liang, Y. Fu, H Huang and C-B Schönlieb
Journal of Machine Learning Research (JMLR)
Arxiv
Paper
Code

2021

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
H Peng, AI Aviles-Rivero and CB Schonlieb
IEEE/CVF WACV 2022
Arxiv
Paper
Code
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
AI Aviles-Rivero, P Sellars, C-B Schönlieb and N Papadakis
Pattern Recognition
Arxiv
Paper
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis
S Hickman, R Woitek, EPV Le, YR Im, C Luxhøj, AI Aviles-Rivero, GC Baxter, JW MacKay, FJ Gilbert
Radiology
Paper
Learning Optical Flow for Fast MRI Reconstruction
Learning Optical Flow for Fast MRI Reconstruction
T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux and CB Schonlieb
Inverse Problems
Arxiv
Paper
Code
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction
A.I Aviles-Rivero, N Debroux, G. Williams, M.J. Graves and C-B Schönlieb
Medical Image Analysis (MedIA)
Arxiv
Paper
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, et al. and C-B Schönlieb
Nature Machine Intelligence
Arxiv
Paper

2020

Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
V. Corona, A.I Aviles-Rivero, N Debroux, C. Le Guyader and C-B Schönlieb
Medical Image Analysis (MedIA)
Arxiv
Paper
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
J Liu, AI Aviles-Rivero, H Ji and C-B Schönlieb
Medical Image Analysis (MedIA)
Arxiv
Paper
Dynamic Spectral Residual Superpixels
Dynamic Spectral Residual Superpixels
J. Zhang*, A.I Aviles-Rivero*, D Heydecker*, X Zhuang, R. Chan and C-B Schönlieb (*Equal Contribution)
Pattern Recognition
Arxiv
Paper
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification
M de Vriendt*, P Sellars* and A.I Aviles-Rivero* (*Equal Contribution)
GRAIL 2020, MICCAI Satellite Event
Arxiv
Controllable Image Processing via Adaptive FilterBank Pyramid
Controllable Image Processing via Adaptive FilterBank Pyramid
D Chen, Q Fan, J Liao, AI Aviles-Rivero, L Yuan, N Yu and G Hua
IEEE Transactions on Image Processing (TIP)
Paper
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
K. Wei, AI Aviles-Rivero, J Liang, Y. Fu, C-B Schönlieb and H Huang
International Conference on Machine Learning (ICML)
Arxiv
Code
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P. Sellars, A.I Aviles-Rivero and C-B Schönlieb
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
Arxiv
Paper
Code

2019

RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
R. Li, RT Tan, LF Cheong, A.I Aviles-Rivero, Q. Fan and C-B Schönlieb
IEEE/CVF International Conference on Computer Vision (ICCV)
Paper
Code
GraphXNET – Chest X-Ray Classification Under Extreme Minimal Supervision
GraphXNET – Chest X-Ray Classification Under Extreme Minimal Supervision
A.I Aviles-Rivero*, N. Papadakis*, R. Li, P. Sellars, Q. Fan, R. T Tan and C-B Schönlieb
MICCAI ’19 (early accept)
Arxiv
Paper
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All? − A Tailored Approach to Single Image Reflection Removal
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All? − A Tailored Approach to Single Image Reflection Removal
D. Heydecker*, G. Maierhofer*,A.I Aviles-Rivero*, Q. Fan, D. Chen, C-B Schönlieb and S. Süsstrunk. (*Equal Contribution)
IEEE Transactions on Image Processing (TIP)
Arxiv
Paper
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
P. Sellars, A.I Aviles-Rivero, N. Papadakis, D. Coomes, A. Faul and C-B Schönlieb. (Oral)
To appear IEEE IGARSS 2019
Arxiv
ReTouchImg: Fusioning From-Local-to-Global Context Detection and Graph Data Structures for Fully-Automatic Specular Reflection Removal for Endoscopic Images
ReTouchImg: Fusioning From-Local-to-Global Context Detection and Graph Data Structures for Fully-Automatic Specular Reflection Removal for Endoscopic Images
S.M. Alsaleh, A.I Aviles-Rivero and JK Hanh
Computerized Medical Imaging and Graphics
Paper
Multi-tasking to Correct: Motion-CompensatedMRI via Joint Reconstruction and Registration
Multi-tasking to Correct: Motion-CompensatedMRI via Joint Reconstruction and Registration
V. Corona, A.I Aviles-Rivero, N. Debroux, M. Graves, C. Le Guyader, C-B Schönlieb and G. Williams
Scale Space and Variational Methods in Computer Vision (SSVM 2019)
Arxiv
Paper
Motion Correction Resolved for MRI via Multi-Tasking: A Simultaneous Reconstruction and Registration Approach
Motion Correction Resolved for MRI via Multi-Tasking: A Simultaneous Reconstruction and Registration Approach
V. Corona, N. Debroux, A.I Aviles-Rivero, M. Graves, G. Williams, C. Le Guyader and C-B Schönlieb
ISMRM 2019

2018

Peekaboo – Where are the Objects? Structure Adjusting Superpixels
Peekaboo – Where are the Objects? Structure Adjusting Superpixels
G. Maierhofer*, D. Heydecker*, A.I Aviles-Rivero*, S.M Alsaleh and C-B Schönlieb (*Equal Contribution)
IEEE International Conference on Image Processing (ICIP 2018)
Arxiv
Paper
CS+M: A Simultaneous Reconstruction and Motion Estimation Approach for Improving Undersampled MRI Reconstruction
CS+M: A Simultaneous Reconstruction and Motion Estimation Approach for Improving Undersampled MRI Reconstruction
A.I Aviles-Rivero, G. Williams, M. Graves and C.B Schönlieb
ISMRM 2018
Sensory Substitution for Force Feedback Recovery: A Perception Experimental Study
Sensory Substitution for Force Feedback Recovery: A Perception Experimental Study
A.I Aviles-Rivero, S.M Alsaleh, J. Philbeck, S.P Raventos, N. Younes, J.K Hanh and A. Casals
ACM Transactions on Applied Perception (TAP), 2018
Paper
Sliding to predict: Vision-based beating heart motion estimation by modeling temporal interactions
Sliding to predict: Vision-based beating heart motion estimation by modeling temporal interactions
A.I Aviles-Rivero, S.M Alsaleh and A. Casals
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2018
Paper

2017

Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank Topology-Preserving Approach
Robust Cardiac Motion Estimation using Ultrafast Ultrasound Data: A Low-Rank Topology-Preserving Approach
A.I Aviles-Rivero, T. Widlak, A. Casals, M.M. Nillesen and H. Ammari
Physics in Medicine and Biology, 2017
Arxiv
Paper
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach
A.I Aviles-Rivero, S.M Alsaleh, J.K. Hahn and A. Casals
IEEE Transactions on Haptics, 2017
Paper
Sight to Touch: 3D Diffeomorphic Deformation Recovery with Mixture Components for Perceiving Forces in Robotic-Assisted Surgery
Sight to Touch: 3D Diffeomorphic Deformation Recovery with Mixture Components for Perceiving Forces in Robotic-Assisted Surgery
A.I Aviles-Rivero, S.M. Alsaleh and A. Casals
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. Vancouver, Canada. — Paper
Paper
Escaping specularity: recovering specular-free video sequences from rank-constrained data
Escaping specularity: recovering specular-free video sequences from rank-constrained data
S.M. Alsaleh, A.I Aviles-Rivero, A. Casals and J.K. Hahn
SIGGRAPH Posters 2017. L.A., California, USA
Paper

2016

Towards Estimating Cardiac Motion Using Low-Rank Representation and Topology Preservation for Ultrafast Ultrasound Data
Towards Estimating Cardiac Motion Using Low-Rank Representation and Topology Preservation for Ultrafast Ultrasound Data
A.I Aviles-Rivero, T. Widlak, A. Casals and H. Ammari
IEEE Engineering in Medicine and Biology Society (EMBC 2016)
Paper
A Deep-Neuro-Fuzzy Approach for Estimating the Interaction Forces in Robotic Surgery
A Deep-Neuro-Fuzzy Approach for Estimating the Interaction Forces in Robotic Surgery
A.I Aviles-Rivero, S.M. Alsaleh, E. Montseny, P. Sobrevilla and A. Casals
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016, Oral)
Paper
Exploring the Effects of Dimensionality Reduction in Deep Networks for Force Estimation in Robotic-Assisted Surgery
Exploring the Effects of Dimensionality Reduction in Deep Networks for Force Estimation in Robotic-Assisted Surgery
A.I Aviles-Rivero, S. Alsaleh, P. Sobrevilla and A. Casals
SPIE Medical Imaging 2016
Paper

2015

Force-Feedback Sensory Substitution Using Supervised Recurrent Learningfor Robotic-Assisted Surgery
Force-Feedback Sensory Substitution Using Supervised Recurrent Learningfor Robotic-Assisted Surgery
A.I Aviles-Rivero, S.M. Alsaleh, P. Sobrevilla and A. Casals
IEEE Engineering in Medicine and Biology Society (EMBC 2015, Oral)
Paper
Automatic and Robust Single-Camera Specular Highlight Removal in Cardiac Images
Automatic and Robust Single-Camera Specular Highlight Removal in Cardiac Images
S.M. Alsaleh, A.I Aviles-Rivero, P. Sobrevilla, A. Casals and JK Hahn
IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Paper
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery
A.I Aviles-Rivero, S.M. Alsaleh, P. Sobrevilla, A. Casals and JK Hahn
International IEEE/EMBS Conference on Neural Engineering (NER 2015)
Paper