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 (DLMIA/ML-CDS@MICCAI, 2018)

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. - Shikha Chaganti; Abishek Balachandran; Guillaume Chabin; Stuart Cohen; Thomas Flohr 001; Bogdan Georgescu; Philippe Grenier; Sasa Grbic; Siqi Liu 001; François Mellot; Nicolas Murray; Savvas Nicolaou; et al. (CoRR, 2020)

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. - Siqi Liu 001; Bogdan Georgescu; Zhoubing Xu; Youngjin Yoo; Guillaume Chabin; Shikha Chaganti; Sasa Grbic; Sebastian Piat; Brian Teixeira; Abishek Balachandran; Vishwanath RS; Thomas J. Re; et al. (CoRR, 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 001; Philippe Grenier; Sasa Grbic; Nakul Gupta; François Mellot; Savvas Nicolaou; et al. (CoRR, 2020)

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; et al. (ICCVW, 2021)

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 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; et al. (Computer-Aided Diagnosis, 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 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; Rajan Jain; et al. (Image Processing, 2023)

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 (ISBI, 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; et al. (CoRR, 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, 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, 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, 2025)