Proceedings
3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
and 5th Data4SmartHealth (D4SH 2024)
25-28 November 2024, Bolzano, Italy
HC@AIxIA 2025 announced as a joint event with HYDRA and co-located with ECAI 2025.
3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024)
and 5th Data4SmartHealth (D4SH 2024)
25-28 November 2024, Bolzano, Italy
Proceedings of HC@AIxIA 2024 include all accepted original contributions, and are published by CEUR-WS.org.
FULL proceedings can be accessed here:
Besides all original papers, HC@AIxIA 2024 featured the presentation of some additional non-original works, i.e., works appeared or submitted somewhere else, as detailed below:
Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco and Alessandro Quarta. AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights - Find the original work here.
Behnam Yousefi, Federico Melograna, Gianluca Galazzo, Niels van Best, Monique Mommers, John Penders, Benno Schwikowski and Kristel Van Steen. Capturing the dynamics of microbial interactions through individual-specific networks - Find the original work here.
Rupali Khatun, Soumick Chatterjee, Bert Christoph, Martin Wadepohl, Oliver J. Ott, Sabine Semrau, Rainer Fietkau, Andreas Nürnberger, Udo Gaipl and Benjamin Frey. Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet - Find the original work here.
Gebreyowhans Hailekiros Bahre, Hassan Hamidi, Andrew Sellergren, Leo Anthony Celi, Francesco Calimeri and Laleh Seyyed-Kalantari. Fairness Of AI Models in vector embedded Chest X-ray representations
Alessio Zanga, Alice Bernasconi, Peter J.F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari and Anthony C. Constantinou. Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer - Find the original work here.
Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte and Simona Perri. IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Benedetta Salvatori, Silke Wegener, Grammata Kotzaeridi, Annika Herding, Florian Eppel, Iris Dressler-Steinbach, Wolfgang Hernich, Agnese Piersanti, Micaela Morettini, Andrea Tura and Christian Göbl. Identification and validation of gestational diabetes subgroups by data-driven cluster analysis - Find the original work here.
Zuqi Li, Federico Melograna, Hanne Hoskens, Diane Duroux, Mary Marazita, Susan Walsh, Seth Weinberg, Mark Shriver, Bertram Müller-Myhsok, Peter Claes and Kristel Van Steen. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity - Find the original work here.
Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger and Soumick Chatterjee. SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss - Find the original work here.