Oncology | Radiology Assessing breast disease with deep learning model using bimodal bi-view ultrasound images and clinical information. July 24, 2024
Bioinformatics | Computational Biology | Genomics Integrated analysis of multimodal single-cell data with structural similarity. September 21, 2022
Environmental Science | Public Health | Urban Planning Using machine learning to examine street green space types at a high spatial resolution: Application in Los Angeles County on socioeconomic disparities in exposure. September 19, 2022
Bioinformatics | Computer Science | Genomics UFold: fast and accurate RNA secondary structure prediction with deep learning. November 18, 2021
Radiation Oncology | Radiology A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy. May 7, 2021
Bioinformatics | Computational Biology | Genetics Predicting transcription factor binding in single cells through deep learning. December 23, 2020
Other FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data. April 23, 2019
Medical Physics | Radiation Oncology | Radiology AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy. February 25, 2019
Bioinformatics | Computational Biology | Genetics DANN: a deep learning approach for annotating the pathogenicity of genetic variants. December 2, 2018