AIME

Keyphrases

Publications

2023

William Van Woensel, Samina Abidi, Syed Sibte Raza Abidi
Decentralized Web-Based Clinical Decision Support Using Semantic GLEAN Workflows. AIME (2023)
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME (2023)
Marta Hasny, Alexandru-Petru Vasile, Mario Gianni, Alexandra Bannach-Brown, Mona Nasser, Murray Mackay, Diana Donovan, Jernej Sorli, Ioana Domocos, Milad Dulloo, Nimita Patel, Olivia Drayson, Nicole Meerah Elango, Jéromine Vacquie, Ana Patricia Ayala, Anna Fogtman
BERT for Complex Systematic Review Screening to Support the Future of Medical Research. AIME (2023)
Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto
Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. AIME (2023)
Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan
Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. AIME (2023)
Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker
The Impact of Bias on Drift Detection in AI Health Software. AIME (2023)
Jordi Torres, Eduardo Alonso, Nekane Larburu
Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case. AIME (2023)
José Antonio Miñarro-Giménez, Carlos Fernández-Llatas, Begoña Martínez-Salvador, Catalina Martínez-Costa, Mar Marcos, Jesualdo Tomás Fernández-Breis
Ontology Model for Supporting Process Mining on Healthcare-Related Data. AIME (2023)
Charles E. Kahn
Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology. AIME (2023)
Ameen Abdel Hai, Mark G. Weiner, Alice Livshits, Jeremiah R. Brown, Anuradha Paranjape, Zoran Obradovic, Daniel J. Rubin
Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission. AIME (2023)
Beatrice Amico, Carlo Combi
Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies. AIME (2023)
Junheng Wang, Milos Hauskrecht
Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies. AIME (2023)
Kathrin Hartmann, Enrique Hortal
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. AIME (2023)
Christoph Düsing, Philipp Cimiano
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. AIME (2023)
Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists. AIME (2023)
Paul Dequidt, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun, Olivier Etard
Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. AIME (2023)
Mariachiara Savino, Nicola Acampora, Carlotta Masciocchi, Roberto Gatta, Chiara Dachena, Stefania Orini, Andrea Cambieri, Francesco Landi, Graziano Onder, Andrea Russo, Sara Salini, Vincenzo Valentini, Andrea Damiani, Stefano Patarnello, Christian Barillaro
An Interactive Dashboard for Patient Monitoring and Management: A Support Tool to the Continuity of Care Centre. AIME (2023)
Giorgio Leonardi, Stefania Montani, Manuel Striani
Improving Stroke Trace Classification Explainability Through Counterexamples. AIME (2023)
Riccardo Tenderini, Federico Betti, Ortal Yona Senouf, Olivier Muller, Simone Deparis, Annalisa Buffa, Emmanuel Abbe
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. AIME (2023)
Sandro Steinwand, Florian Borchert, Silvia Winkler, Matthieu-P. Schapranow
GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text. AIME (2023)
Martin Spendl, Jaka Kokosar, Ela Praznik, Luka Ausec, Blaz Zupan
Ranking of Survival-Related Gene Sets Through Integration of Single-Sample Gene Set Enrichment and Survival Analysis. AIME (2023)
Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold
Explainable Artificial Intelligence for Cytological Image Analysis. AIME (2023)
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME (2023)
Guanxiong Luo, Mengmeng Kuang, Peng Cao
Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. AIME (2023)
Tommaso Mario Buonocore, Enea Parimbelli, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi
A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers. AIME (2023)
Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data. AIME (2023)
Alexander Lacki, Antonio Martinez-Millana
Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data. AIME (2023)
Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya
A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System. AIME (2023)
Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens
A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis. AIME (2023)
Lorenzo Simone, Davide Bacciu
ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography. AIME (2023)
Jamie Andrew Duell, Xiuyi Fan, Hsuan Fu, Monika Seisenberger
Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. AIME (2023)
João Vitorino, Lourenço Abrunhosa Rodrigues, Eva Maia, Isabel Praça, André Lourenço
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection. AIME (2023)
Emil Riis Hansen, Thomas Dyhre Nielsen, Thomas Mulvad, Mads Nibe Stausholm, Tomer Sagi, Katja Hose
Patient Event Sequences for Predicting Hospitalization Length of Stay. AIME (2023)
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Peter P. Rainer, Alexander Felfernig, Trang N. T. Tran, Tamim Burgstaller, Sebastian Lubos
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare. AIME (2023)
Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. AIME (2023)
Jeanne M. Powell, Yuting Guo, Abeed Sarker, J. Lucas McKay
Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. AIME (2023)
Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME (2023)
Hubert Baniecki, Bartlomiej Sobieski, Przemyslaw Bombinski, Patryk Szatkowski, Przemyslaw Biecek
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. AIME (2023)
Muhammad Usamah Shahid, Muddassar Farooq
Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens. AIME (2023)
Peter Haddawy, Myat Su Yin, Panhavath Meth, Araya Srikaew, Chonnikarn Wavemanee, Saranath Lawpoolsri Niyom, Kanokwan Sriraksa, Wannee Limpitikul, Preedawadee Kittirat, Prida Malasit, Panisadee Avirutnan, Dumrong Mairiang
Prognostic Prediction of Pediatric DHF in Two Hospitals in Thailand. AIME (2023)
Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati
A Topological Data Analysis Framework for Computational Phenotyping. AIME (2023)
Julian Hugo, Susanne Ibing, Florian Borchert, Jan-Philipp Sachs, Judy Cho, Ryan C. Ungaro, Erwin P. Böttinger
Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System. AIME (2023)
Òscar Raya, Xavier Castells, David Ramírez, Beatriz López
Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal. AIME (2023)
Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Candido Jr., Augusto Camargo Neto, Alfredo Goldman, Anna Sara Shafferman Levin, Marcus Martins, Beatriz Raposo de Medeiros, Marcelo Queiroz, Ester Cerdeira Sabino, Flaviane Romani Fernandes Svartman, Marcelo Finger
Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese. AIME (2023)
Weronika Wrazen, Kain Kordian Gontarska, Felix Grzelka, Andreas Polze
Explainable AI for Medical Event Prediction for Heart Failure Patients. AIME (2023)
Jayati H. Jui, Milos Hauskrecht
Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. AIME (2023)
Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano
Autoencoder-Based Prediction of ICU Clinical Codes. AIME (2023)

volume 13897, 2023

Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings AIME 13897 (2023)

2022

Sohrab Ferdowsi, Jenny Copara, Racha Gouareb, Nikolay Borissov, Fernando Jaume-Santero, Poorya Amini, Douglas Teodoro
On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks. AIME (2022)

volume 13263, 2022

Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, Proceedings AIME 13263 (2022)