Publications Highlights

For a more complete publication list please refer to Google Scholar, orchid and dblp.

Scaling Multi-Teacher Distillation for Digital Pathology
Scaling Multi-Teacher Distillation for Digital Pathology

NeurIPS 2026, Main Track
FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs
FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs

NeurIPS 2026, Evaluations and Datasets Track
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation

Winter Conference on Applications of Computer Vision (WACV) 2026
THUNDER: Tile-level Histopathology image UNDERstanding benchmark
THUNDER: Tile-level Histopathology image UNDERstanding benchmark

NeurIPS 2025, Datasets and Benchmarks Track
STHELAR, a multi-tissue dataset linking spatial transcriptomics and histology for cell type annotation
STHELAR, a multi-tissue dataset linking spatial transcriptomics and histology for cell type annotation

Nature Scientific Data
HistAug : Controllable Latent-Space Augmentation for Digital Pathology
HistAug : Controllable Latent-Space Augmentation for Digital Pathology

ICCV 2025
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
ViG-Bias: Visually Grounded Bias Discovery and Mitigation

ECCV 2024
Sopa: a technology-invariant pipeline for analyses of image-based spatial omics
Sopa: a technology-invariant pipeline for analyses of image-based spatial omics

Nature Communications 2024
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy

ICCV BioImage Computing Workshop 2023
Trastuzumab Deruxtecan in Metastatic Breast Cancer with Variable HER2 Expression: the Phase 2 DAISY Trial
Trastuzumab Deruxtecan in Metastatic Breast Cancer with Variable HER2 Expression: the Phase 2 DAISY Trial

Nature Medicine 2023
Structured State Space Models for Multiple Instance Learning in Digital Pathology
Structured State Space Models for Multiple Instance Learning in Digital Pathology

MICCAI 2023
Unsupervised Nuclei Segmentation using Spatial Organization Priors
Unsupervised Nuclei Segmentation using Spatial Organization Priors

MICCAI 2022
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Region-guided CycleGANs for Stain Transfer in Whole Slide Images

MICCAI 2022
Exploring Deep Registration Latent Spaces
Exploring Deep Registration Latent Spaces

MICCAI 2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

ICCV CDpath Workshop 2021
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

MedIA 2021
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

MICCAI 2020
Deep learning-based concurrent brain registration and tumor segmentation
Deep learning-based concurrent brain registration and tumor segmentation

Frontiers in Computational Neuroscience 2020
Image registration of satellite imagery with deep convolutional neural networks
Image registration of satellite imagery with deep convolutional neural networks

IGARSS 2019
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks

IEEE-JBHI 2018
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Linear and Deformable Image Registration with 3D Convolutional Neural Networks

MICCAI RAMBO Workshop 2018
Lung pattern classification for interstitial lung diseases using a deep convolutional neural network
Lung pattern classification for interstitial lung diseases using a deep convolutional neural network

IEEE-TMI 2016