Non-original papers (already published elsewhere)

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.