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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
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Research Areas
Medical
Associated Publications
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…
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
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