Mitchell D. Schnall

According to our database, Mitchell D. Schnall authored at least 18 papers between 2000 and 2022.

Collaborative distances:

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

2022

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

2021

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, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey

J. Am. Medical Informatics Assoc., 2021

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

Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.

Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

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

Proceedings of the Breast Imaging, 2016

2012

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

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012

2010

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

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

2009

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI.

Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

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

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images.

Yuanjie Zheng, Sajjad Baloch, Sarah Englander, Mitchell D. Schnall, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis.

Yuanjie Zheng, Sarah Englander, Mitchell D. Schnall, Dinggang Shen

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement.

Ye Xing, Yangming Ou, Sarah Englander, Mitchell D. Schnall, Dinggang Shen

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

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

Proceedings of the Medical Imaging 2006: Image Processing, 2006

2002

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

2001

Preliminary performance analysis of breast MRI CAD system.

Alan I. Penn, Nitin Kumar, Scott F. Thompson, Mitchell D. Schnall, Fei Wang, Constantine Gatsonis

Proceedings of the Medical Imaging 2001: Image Processing, 2001

2000

Fractal discrimination of MRI breast masses using multiple segmentations.

Alan I. Penn, Scott F. Thompson, Mitchell D. Schnall, Murray H. Loew, Lizann Bolinger

Proceedings of the Medical Imaging 2000: Image Processing, 2000