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Publication search results
found 1,012 matches
- 2023
- Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi, Arianna Dagliati:
A Topological Data Analysis Framework for Computational Phenotyping. AIME 2023: 323-327 - Beatrice Amico, Carlo Combi:
Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies. AIME 2023: 341-346 - Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker:
The Impact of Bias on Drift Detection in AI Health Software. AIME 2023: 313-322 - 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: 65-74 - 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: 153-162 - 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: 250-259 - Robbe D'hondt, Sinead Moylett, An Goris, Celine Vens:
A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis. AIME 2023: 25-34 - Jamie Andrew Duell, Xiuyi Fan, Hsuan Fu, Monika Seisenberger:
Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. AIME 2023: 120-124 - Christoph Düsing, Philipp Cimiano:
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. AIME 2023: 86-96 - 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: 193-198 - 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: 114-119 - 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: 271-275 - 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: 303-312 - 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: 130-139 - 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: 51-56 - Kathrin Hartmann, Enrique Hortal:
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models. AIME 2023: 229-238 - 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: 173-182 - 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: 293-302 - Jayati H. Jui, Milos Hauskrecht:
Machine Learning Models for Automatic Gene Ontology Annotation of Biological Texts. AIME 2023: 199-204 - Charles E. Kahn:
Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology. AIME 2023: 347-351 - Alexander Lacki, Antonio Martinez-Millana:
Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data. AIME 2023: 3-12 - Giorgio Leonardi, Stefania Montani, Manuel Striani:
Improving Stroke Trace Classification Explainability Through Counterexamples. AIME 2023: 125-129 - 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: 140-150 - 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: 45-50 - 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: 245-249 - Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. AIME 2023: 239-244 - 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: 352-356 - 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: 207-217 - Pavlin G. Policar, Dalibor Stanimirovic, Blaz Zupan:
Nation-Wide ePrescription Data Reveals Landscape of Physicians and Their Drug Prescribing Patterns in Slovenia. AIME 2023: 283-292 - 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: 163-172
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