Peter D. Chang

According to our database, Peter D. Chang authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

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

CoRR, 2024

DeepATLAS: One-Shot Localization for Biomedical Data.

Peter D. Chang

CoRR, 2024

2021

Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach.

Su Kara, Jake Y. Akers, Peter D. Chang

J. Digit. Imaging, 2021

2020

SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement.

Yeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.

Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar

J. Digit. Imaging, 2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci

J. Digit. Imaging, 2019

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.

Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2019

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2019

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

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

J. Digit. Imaging, 2019

Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear.

Peter D. Chang, Tony T. Wong, Michael J. Rasiej

J. Digit. Imaging, 2019

2018

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Simukayi Mutasa, Peter D. Chang, Carrie Ruzal-Shapiro, Rama Ayyala

J. Digit. Imaging, 2018

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar

J. Digit. Imaging, 2018

2016

Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation.

Peter D. Chang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016