| 2020 | A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning. William Van Woensel, Samina Abidi, Borna Jafarpour, Syed Sibte Raza Abidi |
| 2020 | A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions. Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar |
| 2020 | A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang |
| 2020 | A Multi-task LSTM Framework for Improved Early Sepsis Prediction. Theodoros Tsiligkaridis, Jennifer Sloboda |
| 2020 | A New Local Radon Descriptor for Content-Based Image Search. Morteza Babaie, Hany Kashani, Meghana Dinesh Kumar, Hamid R. Tizhoosh |
| 2020 | A Verified, Executable Formalism for Resilient and Pervasive Guideline-Based Decision Support for Patients. Nick Lik San Fung, Marten J. van Sinderen, Valerie M. Jones, Hermie J. Hermens |
| 2020 | AI Medical School Tutor: Modelling and Implementation. Shazia Afzal, Tejas Indulal Dhamecha, Paul Gagnon, Akash Nayak, Ayush Shah, Jan Carlstedt-Duke, Smriti Pathak, Sneha Mondal, Akshay Gugnani, Nabil Zary, Malolan Chetlur |
| 2020 | Acute Hypertensive Episodes Prediction. Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch |
| 2020 | All-Cause Mortality Prediction in T2D Patients. Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch |
| 2020 | An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products' Discards. Jaber Rad, Calvino Cheng, Jason G. Quinn, Samina Abidi, Robert Liwski, Syed Sibte Raza Abidi |
| 2020 | Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade Identification. Matthew Casey, Nianjun Zhou |
| 2020 | Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings Martin Michalowski, Robert Moskovitch |
| 2020 | Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos |
| 2020 | Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes. Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker |
| 2020 | Blockchain-Based Federated Learning in Medicine. Omar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste |
| 2020 | Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang |
| 2020 | Consensus Modeling: A Transfer Learning Approach for Small Health Systems. Roshan Tourani, Dennis H. Murphree, Ying Zhu, Adam Sheka, Genevieve B. Melton, Daryl J. Kor, György J. Simon |
| 2020 | Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning. Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown |
| 2020 | Deep Learning Applied to Blood Glucose Prediction from Flash Glucose Monitoring and Fitbit Data. Pietro Bosoni, Marco Meccariello, Valeria Calcaterra, Cristiana Larizza, Lucia Sacchi, Riccardo Bellazzi |
| 2020 | Development and Preliminary Evaluation of a Method for Passive, Privacy-Aware Home Care Monitoring Based on 2D LiDAR Data. Paolo Fraccaro, Xenophon Evangelopoulos, Blair Edwards |
| 2020 | Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. Tianran Zhang, Muhao Chen, Alex A. T. Bui |
| 2020 | Difficulty Translation in Histopathology Images. Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour |
| 2020 | Divide to Better Classify. Yves Mercadier, Jérôme Azé, Sandra Bringay |
| 2020 | Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph. Konstantinos Bougiatiotis, Fotis Aisopos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras |
| 2020 | Falls Prediction in Care Homes Using Mobile App Data Collection. Ofir Dvir, Paul Wolfson, Laurence B. Lovat, Robert Moskovitch |
| 2020 | Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh |
| 2020 | HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population. Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger |
| 2020 | Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg |
| 2020 | Innovative Method to Build Robust Prediction Models When Gold-Standard Outcomes Are Scarce. Ying Zhu, Roshan Tourani, Adam Sheka, Elizabeth C. Wick, Genevieve B. Melton, György J. Simon |
| 2020 | Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper |
| 2020 | Medical Time-Series Data Generation Using Generative Adversarial Networks. Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett |
| 2020 | Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss |
| 2020 | Multi-scale Temporal Memory for Clinical Event Time-Series Prediction. Jeongmin Lee, Milos Hauskrecht |
| 2020 | Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection. Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja |
| 2020 | Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen |
| 2020 | Ontology-Guided Data Augmentation for Medical Document Classification. Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li |
| 2020 | Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks. Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin |
| 2020 | SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation. Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz |
| 2020 | Searching for Pneumothorax in Half a Million Chest X-Ray Images. Antonio Sze-To, Hamid R. Tizhoosh |
| 2020 | Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks. Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres |
| 2020 | Towards Assigning Diagnosis Codes Using Medication History. Tomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Yoke Hong Lip, Torben Bjerregaard Larsen, Flemming Skjøth |
| 2020 | Transitive Sequential Pattern Mining for Discrete Clinical Data. Hossein Estiri, Sebastien Vasey, Shawn N. Murphy |
| 2020 | Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs. Olgierd Unold, Mateusz Gabor, Witold Dyrka |
| 2020 | Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images. Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych |