Fractal discrimination of MRI breast masses using multiple segmentations. - Alan I. Penn; Scott F. Thompson; Mitchell D. Schnall; Murray H. Loew; Lizann Bolinger (Image Processing, 2000)

Preliminary performance analysis of breast MRI CAD system. - Alan I. Penn; Nitin Kumar 005; Scott F. Thompson; Mitchell D. Schnall; Fei Wang; Constantine Gatsonis (Image Processing, 2001)

Methods for modeling and predicting mechanical deformations of the breast under external perturbations. - Fred S. Azar; Dimitris N. Metaxas; Mitchell D. Schnall (Medical Image Anal., 2002)

Iterative live wire and live snake: new user-steered 3D image segmentation paradigms. - Andre D. A. Souza; Jayaram K. Udupa; George J. Grevera; Yi Sun; Dewey Odhner; Neeti Suri; Mitchell D. Schnall (Image Processing, 2006)

Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement. - Ye Xing; Yangming Ou; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (ISBI, 2007)

Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis. - Yuanjie Zheng; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (ISBI, 2007)

Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images. - Yuanjie Zheng; Sajjad Baloch; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (MICCAI (2), 2007)

De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration. - Yuanjie Zheng; Jingyi Yu; Chandra Kambhamettu; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (MICCAI (1), 2007)

Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. - Shannon C. Agner; Salil Soman; Edward Libfeld; Margie McDonald; Mark A. Rosen; Mitchell D. Schnall; Deanna Chin; John L. Nosher; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. - Ye Xing; Zhong Xue; Sarah Englander; Mitchell D. Schnall; Dinggang Shen (MICCAI (1), 2008)

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. - Shannon Agner; Jun Xu 005; Hussain Fatakdawala; Shridar Ganesan; Anant Madabhushi; Sarah Englander; Mark Rosen; Kathleen Thomas; Mitchell D. Schnall; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2009)

Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). - Peter Maday; Parmeshwar Khurd; Lance Ladic; Mitchell D. Schnall; Mark Rosen; Christos Davatzikos; Ali Kamen (MCV, 2010)

Fully automated chest wall line segmentation in breast MRI by using context information. - Shandong Wu; Susan P. Weinstein; Emily F. Conant; A. Russell Localio; Mitchell D. Schnall; Despina Kontos (Computer-Aided Diagnosis, 2012)

Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution. - Emily F. Conant; Andrew Oustimov; Samantha P. Zuckerman; Elizabeth S. McDonald; Susan P. Weinstein; Andrew D. A. Maidment; Bruno Barufaldi; Marie Synnestvedt; Mitchell D. Schnall (Digital Mammography / IWDM, 2016)

Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. - Dong Wei 004; Susan Weinstein; Meng-Kang Hsieh; Lauren Pantalone; Mitchell D. Schnall; Despina Kontos (Image Processing, 2017)

Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. - Mindy Y. Licurse; Darco Lalevic; Hanna M. Zafar; Mitchell D. Schnall; Tessa Sundaram Cook (J. Digit. Imaging, 2017)

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. - Matthew T. MacLean; Qasim Jehangir; Marijana Vujkovic; Yi-An Ko; Harold Litt; Arijitt Borthakur; Hersh Sagreiya; Mark Rosen; David A. Mankoff; Mitchell D. Schnall; Haochang Shou; Julio A. Chirinos; et al. (J. Am. Medical Informatics Assoc., 2021)

Integrating 1H MRS and deuterium labeled glucose for mapping the dynamics of neural metabolism in humans. - Abigail T. J. Cember; Neil E. Wilson; Laurie J. Rich; Puneet Bagga; Ravi Prakash Reddy Nanga; Sophia Swago; Anshuman Swain; Deepa Thakuri; Mark Elliot; Mitchell D. Schnall; John A. Detre; Ravinder Reddy (NeuroImage, 2022)