Oncology | Pulmonology | Radiology Deep learning-based bronchial tree-guided semi-automatic segmentation of pulmonary segments in computed tomography images. February 28, 2024
Bioinformatics | Computational Biology | Genomics InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation. January 24, 2024
Imaging | Oncology | Radiology Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. January 5, 2024
Bioinformatics | Computational Biology scCapsNet-mask: an updated version of scCapsNet with extended applicability in functional analysis related to scRNA-seq data. December 12, 2022
Oncology | Radiation Therapy | Radiology Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients. October 6, 2022
Computer Science | Network Science Inferring network structure with unobservable nodes from time series data. February 2, 2022
Medical Imaging | Neuroscience A CNN-transformer hybrid approach for decoding visual neural activity into text. December 28, 2021
Bioinformatics | Computational Biology | Experimental Biology MultiCapsNet: A General Framework for Data Integration and Interpretable Classification. December 13, 2021
Oncology | Radiology Virtual Contrast-enhanced Magnetic Resonance Images Synthesis for Patients with Nasopharyngeal Carcinoma using Multimodality-guided Synergistic Neural Network. November 14, 2021
Medical Imaging | Radiation Oncology Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy. April 12, 2021
Pulmonology | Radiology Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation. March 10, 2021
Neurology | Radiology Deep Natural Image Reconstruction from Human Brain Activity Based on Conditional Progressively Growing Generative Adversarial Networks. November 22, 2020