International Conference on Artificial Intelligence in Medicine

AIME

CORE rank

CORE rank (raw)

Fields of research

Applied Computing

Papers indexed

1,339

1989–2026

Best Applied Computing conferences

Papers per year

1989136 peak2026

Most published authors

AIME papers

1,339 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
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	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	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	Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images.	Ostap Viniavskyi, Mariia Dobko, Oles Dobosevych
2020	Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection.	Anita Valmarska, Dragana Miljkovic, Nada Lavrac, Marko Robnik-Sikonja
2020	Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs.	Olgierd Unold, Mateusz Gabor, Witold Dyrka
2020	A Multi-task LSTM Framework for Improved Early Sepsis Prediction.	Theodoros Tsiligkaridis, Jennifer Sloboda
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, Gyrgy J. Simon
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	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	Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning.	Gabriel Schamberg, Marcus A. Badgeley, Emery N. Brown
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. Bttinger
2020	Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets.	Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, Joo A. M. Santos
2020	Towards Assigning Diagnosis Codes Using Medication History.	Tomer Sagi, Emil Riis Hansen, Katja Hose, Gregory Yoke Hong Lip, Torben Bjerregaard Larsen, Flemming Skjth
2020	Blockchain-Based Federated Learning in Medicine.	Omar El Rifai, Maelle Biotteau, Xavier de Boissezon, Imen Megdiche, Franck Ravat, Olivier Teste
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	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	All-Cause Mortality Prediction in T2D Patients.	Pavel Novitski, Cheli Melzer Cohen, Avraham Karasik, Varda Shalev, Gabriel Hodik, Robert Moskovitch
2020	Divide to Better Classify.	Yves Mercadier, Jrme Az, Sandra Bringay
2020	A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions.	Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar
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	Multi-scale Temporal Memory for Clinical Event Time-Series Prediction.	Jeongmin Lee, Milos Hauskrecht
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	Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks.	Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper

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