3D Modeling of Patient-Specific Geometries of Portal Veins Using MR Images. - Yan Yang 004; Stephanie M. George; Diego R. Martín; Allen R. Tannenbaum; Don P. Giddens (EMBC, 2006)

High speed multiple echo acquisition (HISTO): A rapid and simultaneous assessment of fat and iron content in liver by 1HMRS, validation on phantoms and patients. - Nashiely Pineda-Alonso; Diego R. Martín; Qin Xu; Puneet Sharma; Miriam Vos; Xiaoping Hu 001 (ISBI, 2008)

Computer-Based Image Analysis of Liver Steatosis with Large-Scale Microscopy Imagery and Correlation with Magnetic Resonance Imaging Lipid Analysis. - Jun Kong 002; Michael J. Lee; Pelin Bagci; Puneet Sharma; Diego R. Martín; N. Volkan Adsay; Joel H. Saltz; Alton B. Farris (BIBM, 2011)

Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images. - Xiaofeng Yang 005; Pegah Ghafourian; Puneet Sharma; Khalil Salman; Diego R. Martín; Baowei Fei (Image Processing, 2012)

Task-based optimization of flip angle for texture analysis in MRI. - Jonathan F. Brand; Lars R. Furenlid; Maria I. Altbach; Jean-Philippe Galons; Achyut Bhattacharyya; Puneet Sharma; Tulshi Bhattacharyya; Ali Bilgin; Diego R. Martín (Image Perception, Observer Performance, and Technology Assessment, 2016)

A Comparison of Deep Learning Convolution Neural Networks for Liver Segmentation in Radial Turbo Spin Echo Images. - Lavanya Umapathy; Mahesh Bharath Keerthivasan; Jean-Philippe Galons; Wyatt Unger; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

A Cascaded Residual UNET for Fully Automated Segmentation of Prostate and Peripheral Zone in T2-weighted 3D Fast Spin Echo Images. - Lavanya Umapathy; Wyatt Unger; Faryal Shareef; Hina Arif; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2020)

Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI. - Lavanya Umapathy; Zhiyang Fu; Rohit C. Philip; Diego R. Martín; Maria I. Altbach; Ali Bilgin (CoRR, 2022)