Oncology | Radiology A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis. May 14, 2021
Radiology Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. October 31, 2020
Oncology | Radiology Breast Cancer Radiogenomics: Current Status and Future Directions. December 10, 2019
Radiology Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images. November 8, 2019
Oncology | Pathology | Radiology Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. November 7, 2019
Radiology Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists. July 9, 2019
Neurology | Oncology | Radiology Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. May 25, 2019
Oncology | Radiology Deep learning for identifying radiogenomic associations in breast cancer. May 21, 2019
Radiology Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI. April 27, 2019
Oncology | Radiology Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features. March 1, 2019
Other A systematic study of the class imbalance problem in convolutional neural networks. December 11, 2018
Neurology | Oncology | Radiology Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing. August 20, 2018