Thomas J. Re

According to our database, Thomas J. Re authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation.

Badhan Kumar Das, Ajay Singh, Gengyan Zhao, Han Liu, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas K. Maier

CoRR, May, 2025

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data.

Badhan Kumar Das, Gengyan Zhao, Boris Mailhé, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas K. Maier

CoRR, May, 2025

AdaViT: Adaptive Vision Transformer for Flexible Pretrain and Finetune with Variable 3D Medical Image Modalities.

Badhan Kumar Das, Gengyan Zhao, Han Liu, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas K. Maier

CoRR, April, 2025

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage.

Youngjin Yoo, Bogdan Georgescu, Yanbo Zhang, Sasa Grbic, Han Liu, Gabriela D. Aldea, Thomas J. Re, Jyotipriya Das, Poikavila Ullaskrishnan, Eva Eibenberger, Andrei Chekkoury, Uttam Bodanapally, Savvas Nicolaou, Pina C. Sanelli, Thomas J. Schroeppel, Yvonne W. Lui, Eli Gibson

CoRR, February, 2025

Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging.

Badhan Kumar Das, Gengyan Zhao, Han Liu, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas K. Maier

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2023

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.

Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu

Proceedings of the Medical Imaging 2023: Image Processing, 2023

The importance of data domain on self-supervised learning for brain metastasis detection and segmentation.

Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2021

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans.

Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort.

Bogdan Georgescu, Shikha Chaganti, Gorka Bastarrika Aleman, Eduardo Jose Mortani Barbosa Jr., Jordi Broncano Cabrero, Guillaume Chabin, Thomas Flohr, Philippe Grenier, Sasa Grbic, Nakul Gupta, François Mellot, Savvas Nicolaou, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

CoRR, 2020

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19.

Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas J. Re, Dorin Comaniciu

CoRR, 2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.

Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

CoRR, 2020

2018

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images.

Mayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger, Mariappan S. Nadar, Sasa Grbic, Dorin Comaniciu

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018