Electrical Engineering | Materials Science | Optics Multitask Learning Deep Neural Networks Enable Embedded Design of Active Metamaterials. May 13, 2024
Bioinformatics | Oncology An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome. February 28, 2024
Hepatology | Oncology | Radiology A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy. October 6, 2023
Infectious Diseases | Pharmacology Multitask learning-driven identification of novel antitrypanosomal compounds. September 13, 2023
Oncology | Radiology Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. July 3, 2023
Chemistry | Material Science | Polymer Informatics Polymer Informatics at Scale with Multitask Graph Neural Networks. March 6, 2023
Oncology | Radiology Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation. November 27, 2022
Chemistry | Drug Discovery | Organic Chemistry Transformer-based multitask learning for reaction prediction under low-resource circumstances. November 16, 2022
Neurology | Pediatrics | Radiology Improving the Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning. October 17, 2022
Biomedical Engineering | Cardiology | Pulmonology Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation. July 27, 2022
Artificial Intelligence | Computational Drug Discovery | Machine Learning MolData, a molecular benchmark for disease and target based machine learning. March 8, 2022
Chemistry | Computer Science Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning. January 21, 2022