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Radiology A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI. April 10, 2024
Radiology RenseNet: A Deep Learning Network Incorporating Residual and Dense Blocks with Edge Conservative Module to Improve Small-Lesion Classification and Model Interpretation. February 10, 2024
Radiology Unsupervised motion artifact correction of turbo spin-echo MRI using deep image prior. January 29, 2024
Medical Imaging | Oncology | Radiology A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks. October 20, 2022
Oncology | Radiology Deep Neural Network with Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. May 28, 2021
Oncology | Radiology Closing the Gap between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions. October 19, 2020
Pathology | Radiology Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state-of-art applications. May 17, 2020