Peter D. Chang

According to our database1, Peter D. Chang authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.
CoRR, 2024

DeepATLAS: One-Shot Localization for Biomedical Data.
CoRR, 2024

2021
Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach.
J. Digit. Imaging, 2021

2020
SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement.
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.
J. Digit. Imaging, 2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
J. Digit. Imaging, 2019

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.
J. Digit. Imaging, 2019

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.
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.
J. Digit. Imaging, 2019

Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear.
J. Digit. Imaging, 2019

2018
MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
J. Digit. Imaging, 2018

Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
J. Digit. Imaging, 2018

2016
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016


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