Respiratory Motion Estimation From Slowly Rotating X-Ray Projections. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (ISBI, 2004)

Nonrigid registration using regularization that accomodates local tissue rigidity. - Dan Ruan; Jeffrey A. Fessler; Michael Roberson; James M. Balter; Marc L. Kessler (Image Processing, 2006)

Iterative Sorting for 4dct Images Based on Internal Anatomy Motion. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter; Peter A. Balter (ISBI, 2007)

A simplified motion model for estimating respiratory motion from orbiting views. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (Image Processing, 2007)

Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (IEEE Trans. Medical Imaging, 2007)

3D Forward and Back-Projection for X-Ray CT Using Separable Footprints. - Yong Long; Jeffrey A. Fessler; James M. Balter (IEEE Trans. Medical Imaging, 2010)

Estimation of Delivered Dose in Radiotherapy: The Influence of Registration Uncertainty. - Petter Risholm; James M. Balter; William M. Wells III (MICCAI (1), 2011)

An improved rigidity penalty for deformable registration of head and neck images in intensity-modulated radiation therapy. - Jihun Kim; Martha M. Matuszak; James M. Balter; Kazuhiro Saitou (CASE, 2012)

A finite element head and neck model as a supportive tool for deformable image registration. - Jihun Kim; Kazuhiro Saitou; Martha M. Matuszak; James M. Balter (Int. J. Comput. Assist. Radiol. Surg., 2016)

Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor model. - Lianli Liu; Adam Johansson; James M. Balter; Yue Cao; Jeffrey A. Fessler (ISBI, 2018)

Quantifying and leveraging predictive uncertainty for medical image assessment. - Florin C. Ghesu; Bogdan Georgescu; Awais Mansoor; Youngjin Yoo; Eli Gibson; R. S. Vishwanath; Abishek Balachandran; James M. Balter; Yue Cao; Ramandeep Singh; Subba R. Digumarthy; Mannudeep K. Kalra; et al. (Medical Image Anal., 2021)

Self-supervised Learning from 100 Million Medical Images. - Florin C. Ghesu; Bogdan Georgescu; Awais Mansoor; Youngjin Yoo; Dominik Neumann; Pragneshkumar Patel; R. S. Vishwanath; James M. Balter; Yue Cao; Sasa Grbic; Dorin Comaniciu (CoRR, 2022)

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)

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion. - Jorge Tapias Gomez; Nishant Nadkarni; Lando S. Bosma; Jue Jiang; Ergys D. Subashi; William P. Segars; James M. Balter; Mert R. Sabuncu; Neelam Tyagi; Harini Veeraraghavan (CoRR, 2025)