Research Areas

Medical

Associated Publications

2026

Federated Learning in Healthcare: From Research to Real-World Deployment
Spyridon Bakas, Xiaoxiao Li, Prashant Shah, Holger Roth
Annual Review of Biomedical Engineering

2025

Pedestrian Collision Avoidance in Hemianopia during Natural Walking in Immersive Virtual Reality
Jonathan K. Doyon, Sujin Kim, Alex D. Hwang, Jae-Hyun Jung
arXiv
MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
Can Zhao, Pengfei Guo, Dong Yang, Yucheng Tang, Yufan He, Benjamin Simon, Mason Belue, Stephanie Harmon, Baris Turkbey, Daguang Xu
AAAI 2026
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge
Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Danny Yin, Yee Man Law, Stephanie Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
CVPR 2025
eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation
Tomas Krilavičius, Lucio Tommaso De Paolis, Valerio De Luca, Josef Spjut
Information Systems Frontiers

2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?
Ali Hatamizadeh, Hongxu Danny Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G Flores, Jan Kautz, Daguang Xu, Holger Roth
IEEE Transactions of Medical Imaging

2021

Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission
Iuri Frosio, Aldo Marzullo, Martina Golini, Elena De Momi, Michele Catellani, Francesco Calimeri, Giuseppe Fiameni
AIABI-2021 Italian Workshop on Artificial Intelligence and Applications for Bus…
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger Roth,
Nature Medicine
Improving Long-read Consensus Sequencing Accuracy with Deep Learning
Avantika Lal, Michael Brown, Rahul Mohan, Joyjit Daw, James Drake, Johnny Israeli
Biorxiv
Genome-wide Bioinformatic Analyses Predict Key Host and Viral Factors in SARS-CoV-2 Pathogenesis
Mariana G. Ferrarini, Avantika Lal, Rita Rebollo, Andreas Gruber, Andrea Guarracino, Itziar Martinez Gonzalez, Taylor Floyd, Daniel Siqueira de Oliveira, Justin Shanklin, Ethan Beausoleil, Taneli Pusa, Brett E. Pickett, Vanessa Aguiar-Pulido
Communications Biology
Deep Learning-based Enhancement of Epigenomics Data with AtacWorks
Avantika Lal, Zachary D Chiang, Nikolai Yakovenko, Fabiana M Duarte, Johnny Israeli, Jason D Buenrostro
Nature Communications

2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
MICCAI 2020
The future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth,
Nature Digital Medicine
Weakly Supervised One-stage Vision and Language Disease Detection using Large Scale Pneumonia and Pneumothorax Studies
Leo Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
MICCAI 2020
When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
AAAI 2020
Genome Variant Calling with a Deep Averaging Network
Nikolai Yakovenko, Avantika Lal, Johnny Israeli, Bryan Catanzaro
Arxiv
Neurreg: Neural registration and its application to image segmentation
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
WACV

2019

An Alarm System for Segmentation Algorithm Based on Shape Model
Fengze Liu, Yingda Xia, Dong Yang, Alan Yuille, Daguang Xu
ICCV 2019
4D CNN for semantic segmentation of cardiac volumetric sequences
Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth
MICCAI 2019
Cardiac Segmentation of LGE MRI with Noisy Labels
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
MICCAI 2019
Privacy-preserving Federated Brain Tumour Segmentation
Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sebastien Ourselin, M. Jorge Cardoso, Andrew Feng
MICCAI 2019
Deep Hierarchical Multi-label Classification of Chest X-ray Images
Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison
Medical Imaging with Deep Learning

2018

3D MRI Brain Tumor Segmentation Using Autoencoder Regularization
Andriy Myronenko
MICCAI, BrainLes, 2018

2010

Point Set Registration: Coherent Point Drift
Andriy Myronenko, Xubo Song
PAMI 2010

Researchers

Can Zhao
Holger Roth
Jae-Hyun Jung
Vinu Joseph
Vishwesh Nath
Yufan He