Peter D. Chang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Magnetic Resonance Angiography

Convolutional Neural Networks

Mri Segmentation

Top Venues

J. Digit. Imaging

BrainLes@MICCAI

Publications

Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. CoRR (2024)
Peter D. Chang
DeepATLAS: One-Shot Localization for Biomedical Data. CoRR (2024)
Su Kara, Jake Y. Akers, Peter D. Chang
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. J. Digit. Imaging 34 (4) (2021)
Yeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie
SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement. ISBI (2020)
Peter D. Chang, Tony T. Wong, Michael J. Rasiej
Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear. J. Digit. Imaging 32 (6) (2019)
Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, L. H. Schwartz, Sachin Jambawalikar, Ulas Bagci
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32 (4) (2019)
Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. J. Digit. Imaging 32 (1) (2019)
Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter D. Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. J. Digit. Imaging 32 (5) (2019)
Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. J. Digit. Imaging 32 (2) (2019)
Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging 32 (5) (2019)
Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. J. Digit. Imaging 31 (6) (2018)
Simukayi Mutasa, Peter D. Chang, Carrie Ruzal-Shapiro, Rama Ayyala
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling. J. Digit. Imaging 31 (4) (2018)
Peter D. Chang
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation. BrainLes@MICCAI (2016)