Detailed programme
Notes:
- All times are Central European Time (CET)
- In the tables presenting the main conference program, L indicates a long paper (15 minutes for presentation and 5 minutes Q/A), S a short paper and D demo paper (both 5 minutes for presentation).
- On-site registrations will be in the foyer of Grand Hotel Bernardin (follow the signs)
- The conference dinner is included in the full/student registration.
- Lunch is not included, but is available in the hotel. You can also have it outside the hotel, there are restaurants nearby (Tripadvisor).
| Monday, June 12, 2023: Tutorials | |||||
| Emerald | Mediteranea | Adria | |||
| 9:00 am | Tutorials I: Evaluation of Prediction Models in Medicine 8.30 am - 11.00 am (150 min) |
Tutorials II: Mining and multimodal learning from complex medical data 8.30 am - 11.00 am (150 min) |
Tutorials III: pMineR & pMinShiny Tutorial 8.30 am - 11.00 am (150 min) |
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| 9:30 am | |||||
| 10:00 am | |||||
| 11:00 am | Coffee Break 11.00 am - 11.30 am (30 min) |
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| 11:30 am | Tutorials I: Evaluation of Prediction Models in Medicine 11.30 am - 1.00 pm (90 min) |
Tutorials II: Mining and multimodal learning from complex medical data 11.30 am - 1.00 pm (90 min) |
Tutorials III: pMineR & pMinShiny Tutorial 11.30 am - 1.00 pm (90 min) |
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| 12:00 pm | |||||
| 12:30 pm | |||||
| 1:00 pm | Lunch (not included, but is available in the hotel) 1.00 pm - 2.30 pm (90 min) |
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| 2:00 pm | |||||
| 2:30 pm | Editor-In-Chief Panel Mor Peleg, Carlo Combi, Dimitrios I. Fotiadis, Zoran Obradovic Tips and New Challenges in Artificial Inteligence and Biomedical Informatics Publishing 2:30 pm - 4.00 pm (90 min) |
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| 3:00 pm | |||||
| 3:30 pm | |||||
| 4:00 pm | Coffee Break 4.00 pm - 4.30 pm (30 min) |
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| 4:30 pm | Doctoral Consortium Giuseppe Albi, Andrea De Gobbis, Tianxiao Wang, Rachel Murphy, Jose Benitez-Aurioles, Alexandria Mulligan 4:30 pm - 7.00 pm (150 min) |
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| 5:00 pm | |||||
| 5:30 pm | |||||
| 6:00 pm | |||||
| 6:30 pm | |||||
| 7:00 pm | |||||
| 8:00 pm |
Welcome Reception (planned outside, depending on the weather) |
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| 9:00 pm | |||||
| 9:30 pm | |||||
| Tuesday, June 13, 2023: Main Conference, Day 1 | |||||
| Emerald | |||||
| 8:30 am | Opening Ceremony 8:30 am - 9:00 am (30 min) |
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| 9:00 am | Keynote talk: Zoran Obradovic Predictive Analytics for Clinical Decision Making 9:00 am - 10:00 am (60 min) |
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| 9:30 am | |||||
| 10:00 am | Session 1 - IMAGE ANALYSIS 1 (Chair: TBD) 10:00 am - 11:00 am (50 min) Fernando Pérez-Bueno, Kjersti Engan and Rafael Molina - A Robust BKSVD method for blind color deconvolution and blood detection on H&E histological images (L) Riccardo Tenderini, Federico Betti, Ortal Yona Senouf, Olivier Muller, Simone Deparis, Annalisa Buffa and Emmanuel Abbé - Can transfer and multitask learning compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico study (L) Guanxiong Luo, Mengmeng Kuang and Peng Cao - Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction (S) Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina and Aggelos K. Katsaggelos - Crowdsourcing segmentation of histopathological images using annotations provided by medical students (S) |
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| 10:30 am | |||||
| 11:00 am | Coffee Break + Poster Session Day 1 (10 posters) 11.00 am - 11.30 am (30 min) |
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| 11:30 am | Session 2 - DATA ANALYSIS 1 & MACHINE AND DEEP LEARNING 1 (Chair: TBA) 11:30 am - 1:10 pm (100 min) Pavlin G. Poličar, Dalibor Stanimirović and Blaž Zupan - Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia (L) Julian Hugo, Susanne Ibing, Florian Borchert, Jan Philipp Sachs, Judy Cho, Ryan C. Ungaro and Erwin P. Böttinger - Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System (L) Martin Špendl, Jaka Kokošar, Ela Praznik, Luka Avsec and Blaž Zupan - Ranking of Cancer Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis (L) Giuseppe Albi, Alessia Gerbasi, Mattia Chiesa, Gualtiero I. Colombo, Riccardo Bellazzi and Arianna Dagliati - A Topological Data Analysis framework for computational phenotyping (S) Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David Brown, David Baldwin, Emma O'Dowd and Richard Hubbard - Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data (S) Alessio Zanga, Alice Bernasconi, Peter Lucas, Marco Scutari and Fabio Stella - Causal Discovery with Missing Data in a Multicentric Clinical Study (S) Antonio Lopez-Martinez-Carrasco, Hugo M. Proença, Jose M. Juarez, Matthijs van Leeuwen and Manuel Campos - Novel approach for phenotyping based on diverse top-k subgroup list (S) Emil Riis Hansen, Thomas Dyhre Nielsen, Thomas Mulvad Larsen, Mads Nibe Strausholm, Tomer Sagi and Katja Hose - Patient Event Sequences for Predicting Hospitalization Length of Stay (S) Tsvetan Yordanov, Ameen Abu-Hanna, Anita Ravelli and Iacopo Vagliano - Predicting clinical codes for ICU patients using multimodal autoencoders (S) |
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| 12:00 pm | |||||
| 12:30 pm | |||||
| 1:10 pm |
Lunch (not included, but is available in the hotel) |
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| 2:00 pm | |||||
| 2:30 pm | Session 3 - EXPLAINABILITY 1 (Chair: TBA) 1:30 pm - 4:00 pm (90 min) Hubert Baniecki, Bartlomiej Sobieski, Przemysław Bombiński, Patryk Szatkowski and Przemysław Biecek - Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics (L) Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden and Klaus Diepold - Explainable Artificial Intelligence in Medical Image Processing (L) Christoph Düsing and Philipp Cimiano - Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction (L) Weronika Wrazen, Kordian Gontarska, Andreas Polze and Felix Grzelka - Explainable AI for Medical Event Prediction for Heart Failure Patients (L) João Vitorino, Lourenço Rodrigues, Eva Maia, Isabel Praça and André Lourenço - Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection (S) Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig, Trang Tran, Tamim Burgstaller and Sebastian Lubos - Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare (S) |
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| 3:00 pm | |||||
| 3:30 pm | |||||
| 4:00 pm | Coffee Break + Poster Session Day 1 (10 posters) 4.00 pm - 4.30 pm (30 min) |
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| 4:30 pm | Session 4 - MACHINE AND DEEP LEARNING 2 (Chair: TBD) 4.30 pm - 5.30 pm (60 min) AlexanderLacki and Antonio Martinez-Millana - Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method incorporating Survival Data (L) Muhammad Usamah Shahid and Muddassar Farooq - Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens (L) Robbe D'Hondt, Sinéad Moylett, An Goris and Celine Vens - A binning approach for predicting long-term prognosis in multiple sclerosis (L) |
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| 5:00 pm | |||||
| 5:30 pm | AIME Board Meeting (Members only) 5.30 pm - 7.30 om |
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| 8:00 pm | Conference Dinner (included in the full/student registration) Location 8.00 pm - 10.00 pm |
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| 9:00 pm | |||||
| 9:30 pm | |||||
| Wednesday, June 14, 2023: Main Conference, Day 2 | |||||
| Emerald | |||||
| 9:00 am | Keynote talk: Nada Lavrač Learning representations for relational learning and literature-based discovery 9:00 am - 10:00 am (60 min) |
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| 9:30 am | |||||
| 10:00 am | Session 5 - KNOWLEDGE REPRESENTATION AND DECISION SUPPORT & EXPLAINABILITY 2 (Chair: TBA) 10:00 am - 11:00 am (60 min) Beatrice Amico and Carlo Combi - Supporting the prediction of AKI evolution through interval-based approximate predictive functional dependencies (S) Charles Kahn - Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology (S) Jose Antonio Miñarro-Giménez, Carlos Fernández-Llatas, Begoña Martínez-Salvador, Catalina Martínez-Costa, Mar Marcos and Jesualdo Tomás Fernández-Breis - Ontology model for supporting process mining on healthcare-related data (S) Jordi Torres, Eduardo Alonso and Nekane Larburu - Real-World Evidence Inclusion in Guideline-Based Clin-ical Decision Support Systems: Breast Cancer Use Case (S) William Van Woensel, Syed Sibte Raza Abidi and Samina Abidi - Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows (S) 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 and Christian Barillaro - An interactive dashboard for patient monitoring and management: a support tool to the Continuity of Care Centre (D) Saptarshi Purkayastha, Rohan Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth Krupinski, Joshua Danish and Judy Wawira Gichoya - A general-purpose AI assistant embedded in an open-source radiology information system (D) Òscar Raya, Xavier Castells, David Ramírez and Beatriz López - Management of patient and physician preferences for a participatory and explainable treatment evaluation with an ethical seal (D) Jamie Duell, Xiuyi Fan, Hsuan Fu and Monika Seisenberger - Batch Integrated Gradients: Explanations for Temporal Electronic Health Records (S) Giorgio Leonardi, Stefania Montani and Manuel Striani - Improving stroke trace classification explainability through counterexamples (S) |
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| 10:30 am | |||||
| 11:00 am |
Coffee Break + Poster Session Day 2 (11 posters and 3 demos) |
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| 11:30 am | Session 6 - TRANSFER LEARNING & SIGNAL ANALYSIS (Chair: TBA) 11:30 am - 1:10 pm (80 min) Ameen Abdel Hai, Mark Weiner, Alice Livshits, Jeremiah Brown, Anuradha Paranjape, Zoran Obradovic and Daniel Rubin - Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission (L) Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino and Barbara Di Camillo - Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis (L) Paul Dequidt, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun and Olivier Etard - Automatic sleep stage classification on EEG signals using time-frequency representation (L) Junheng Wang and Milos Hauskrecht - Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies (L) Marcelo Matheus Gauy, Larissa Cristina Berti, Arnaldo Cândido Júnior, Augusto Camargo Neto, Alfredo Goldman, Anna Sara Shafferman Levin, Marcus Martins, Beatriz Raposo de Medeiros, Marcelo Queiroz, Ester Cerdeira Sabino, Flaviane Romani Fernandes Svartman and Marcelo Finger - Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese (S) Lorenzo Simone and Davide Bacciu - ECGAN: Self-supervised generative adversarial network for electrocardiography (S) |
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| 12:00 pm | |||||
| 12:30 pm | |||||
| 1:10 pm | Lunch (not included, but is available in the hotel) 1.10 pm - 2.30 pm (80 min) |
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| 2:00 pm | |||||
| 2:30 pm | Session 7 - NATURAL LANGUAGE PROCESSING (Chair: TBA) 1:30 pm - 4:00 pm (90 min) Tommaso Mario Buonocore, Enea Parimbelli, Valentina Tibollo, Carlo Napolitano, Silvia Priori and Riccardo Bellazzi - A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers (L) Jeanne Powell, Yuting Guo, Abeed Sarker and J. Lucas McKay - Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing (L) Marta Hasny, Alexandru-Petru Vasile, Mario Gianni, Alexandra Bannach-Brown, Mona Nasser, Murray Mackay, Diana Donovan, Jernej Šorli, Ioana Domocos, Milad Dulloo, Nimita Patel, Olivia Drayson, Nicole Meerah Elango, Jéromine Vacquie, Ana Patricia Ayala and Anna Fogtman - BERT for complex systematic review screening to support future of medical research (L) Sandro Steinwand, Florian Borchert, Silvia Winkler and Matthieu-P. Schapranow - GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text (L) Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna and Iacer Calixto - Soft-prompt tuning to predict lung cancer using free-text patient medical notes from Dutch primary care physicians (S) Jayati Halder Jui and Milos Hauskrecht - Machine learning models for automatic Gene Ontology annotation of biological texts (S) |
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| 3:00 pm | |||||
| 3:30 pm | |||||
| 4:00 pm | Coffee Break + Poster Session Day 2 (11 posters and 3 demos) 4.00 pm - 4.30 pm (30 min) |
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| 4:30 pm | Session 8 - DATA ANALYSIS 2 & IMAGE ANALYSIS 2 (Chair: TBA) 4:30 pm - 5:30 pm (60 min) Peter Haddawy, Myat Su Yin, Panhavath Meth, Araya Srikaew, Chonnikarn Wavemanee, Saranath Lawpoolsri, Kanokwan Sriraksa, Wannee Limpitikul, Preedawadee Kittirat, Prida Malasit, Panisadee Avirutnan and Dumrong Mairiang - Prognostic prediction of paediatric DHF in two hospitals in Thailand (L) Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles and Allan Tucker - The Impact of Bias on Drift Detection in AI Health Software (L) Kathrin Hartmann and Enrique Hortal - Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models (L) |
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| 5:00 pm | |||||
| 5:30 pm | Awards ceremony and closing of the conference 5.30 pm - 6.30 pm (60 min) |
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| 6:00 pm | |||||
| Thursday, June 15, 2023: Workshops | |||||
| Emerald I | Emerald II | Mediteranea I | Mediteranea II | Adria | |
| 9:00 am | Workshop I: 2nd Workshop on Artificial Inteligence in Nursing (AINurse2023) 9.00 am - 11.00 am (120 min) |
Workshop II: XAI-Healthcare 2023 9.00 am - 11.00 am (120 min) |
Workshop III: 13th International Workshop on Knowledge Representation for Heath Care (KR4HC) 9.00 am - 11.00 am (120 min) |
Workshop IV: 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023) 9.00 am - 11.00 am (120 min) |
Workshop V: 1st International Workshop on Process Mining Applications for Healthcare (PM4H) 9.00 am - 11.00 am (120 min) |
| 9:30 am | |||||
| 10:00 am | |||||
| 10:30 am | |||||
| 11:00 am | Coffee Break 11.00 am - 11.30 am (30 min) |
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| 11:30 am | Workshop I: 2nd Workshop on Artificial Inteligence in Nursing (AINurse2023) 11.30 am - 1.00 pm (90 min) |
Workshop II: XAI-Healthcare 2023 11.30 am - 1.00 pm (90 min) |
Workshop III: 13th International Workshop on Knowledge Representation for Heath Care (KR4HC) 11.30 am - 1.00 pm (90 min) |
Workshop IV: 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023) 11.30 am - 1.00 pm (90 min) |
Workshop V: 1st International Workshop on Process Mining Applications for Healthcare (PM4H) 11.30 am - 1.00 pm (90 min) |
| 12:00 pm | |||||
| 12:30 pm | |||||
| 1:00 pm | Lunch (not included, but is available in the hotel) 1.00 pm - 2.30 pm (90 min) |
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| 2:00 pm | |||||
| 2:30 pm | Workshop I: 2nd Workshop on Artificial Inteligence in Nursing (AINurse2023) 2.30 pm - 4.00 pm (90 min) |
Workshop II: XAI-Healthcare 2023 2.30 pm - 4.00 pm (90 min) |
Workshop III: 13th International Workshop on Knowledge Representation for Heath Care (KR4HC) 2.30 pm - 4.00 pm (90 min) |
Workshop IV: 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023) 2.30 pm - 4.00 pm (90 min) |
Workshop V: 1st International Workshop on Process Mining Applications for Healthcare (PM4H) 2.30 pm - 4.00 pm (90 min) |
| 3:00 pm | |||||
| 3:30 pm | |||||
| 4:00 pm | Coffee Break 4.00 pm - 4.30 pm (30 min) |
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| 4:30 pm | Workshop I: 2nd Workshop on Artificial Inteligence in Nursing (AINurse2023) 4.30 pm - 6.30 pm (120 min) |
Workshop II: XAI-Healthcare 2023
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Workshop III: 13th International Workshop on Knowledge Representation for Heath Care (KR4HC) 4.30 pm - 6.30 pm (120 min) |
Workshop IV: 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023) 4.30 pm - 6.30 pm (120 min) |
Workshop V: 1st International Workshop on Process Mining Applications for Healthcare (PM4H) 4.30 pm - 6.30 pm (120 min) |
| 5:00 pm | |||||
| 5:30 pm | |||||
| 6:00 pm | |||||
| 6:30 pm | |||||
| 7:00 pm | |||||
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