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ORCIDMitchell D. Schnall
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Journal Articles
- 2022
[j4]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:
Integrating 1H MRS and deuterium labeled glucose for mapping the dynamics of neural metabolism in humans. NeuroImage 251: 118977 (2022)- 2021
- [j3]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:
Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. 28(6): 1178-1187 (2021) - 2017
- [j2]Mindy Y. Licurse, Darco Lalevic, Hanna M. Zafar, Mitchell D. Schnall, Tessa Sundaram Cook:
Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned. J. Digit. Imaging 30(2): 156-162 (2017) - 2002
- [j1]Fred S. Azar, Dimitris N. Metaxas, Mitchell D. Schnall:
Methods for modeling and predicting mechanical deformations of the breast under external perturbations. Medical Image Anal. 6(1): 1-27 (2002)
Conference and Workshop Papers
- 2017
- [c15]Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos:
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. Medical Imaging: Image Processing 2017: 1013314 - 2016
- [c14]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:
Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution. Digital Mammography / IWDM 2016: 20-24 - 2012
- [c13]Shandong Wu, Susan P. Weinstein, Emily F. Conant, A. Russell Localio, Mitchell D. Schnall, Despina Kontos:
Fully automated chest wall line segmentation in breast MRI by using context information. Medical Imaging: Computer-Aided Diagnosis 2012: 831507 - 2010
- [c12]Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell D. Schnall, Mark Rosen, Christos Davatzikos, Ali Kamen:
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). MCV 2010: 164-173 - 2009
- [c11]Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski:
Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI 2009: 1227-1230 - 2008
- [c10]Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Mark A. Rosen, Mitchell D. Schnall, Deanna Chin, John L. Nosher, Anant Madabhushi:
Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. Medical Imaging: Computer-Aided Diagnosis 2008: 69152C - [c9]Ye Xing, Zhong Xue, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images. MICCAI (1) 2008: 342-350 - 2007
- [c8]Ye Xing, Yangming Ou, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement. ISBI 2007: 332-335 - [c7]Yuanjie Zheng, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis. ISBI 2007: 520-523 - [c6]Yuanjie Zheng, Sajjad Baloch, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images. MICCAI (2) 2007: 393-401 - [c5]Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sarah Englander, Mitchell D. Schnall, Dinggang Shen:
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration. MICCAI (1) 2007: 933-941 - 2006
- [c4]Andre D. A. Souza, Jayaram K. Udupa, George J. Grevera, Yi Sun, Dewey Odhner, Neeti Suri, Mitchell D. Schnall:
Iterative live wire and live snake: new user-steered 3D image segmentation paradigms. Medical Imaging: Image Processing 2006: 61443N - 2001
- [c3]Fred S. Azar, Dimitris N. Metaxas, Mitchell D. Schnall:
Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations. MICCAI 2001: 1267-1270 - [c2]Alan I. Penn, Nitin Kumar, Scott F. Thompson, Mitchell D. Schnall, Fei Wang, Constantine Gatsonis:
Preliminary performance analysis of breast MRI CAD system. Medical Imaging: Image Processing 2001 - 2000
- [c1]Alan I. Penn, Scott F. Thompson, Mitchell D. Schnall, Murray H. Loew, Lizann Bolinger:
Fractal discrimination of MRI breast masses using multiple segmentations. Medical Imaging: Image Processing 2000
Coauthor Index
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