HC@AIXIA 2024: 3RD AIXIA WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR HEALTHCARE (HC@AIXIA 2024)

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Adornetto, Carlo	Features selection throught autoencoder filtering and DeepShap: an iterative algorithm AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Aguzzi, Gianluca	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Aiolli, Fabio	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Angeli, Fabio	An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia
Apriceno, Gianluca	Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
Atkuri, Veera Venkata Naga Krishna Chaitanya	Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach
B
Bahre, Gebreyowhans Hailekiros	Fairness Of AI Models in vector embedded Chest X-ray representations
Bailoni, Tania	Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab
Balordi, Antonio	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Balsano, Clara	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Basile, Andrea	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Bellan, Patrizio	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Bergamin, Luca	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Berghuis, Anna	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Bernasconi, Alice	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Besozzi, Daniela	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Bolt, Janneke	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Bruno, Pierangela	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
C
Cabañas, Rafael	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors
Cabitza, Federico	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Calefato, Fabio	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Calimeri, Francesco	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models Features selection throught autoencoder filtering and DeepShap: an iterative algorithm Fairness Of AI Models in vector embedded Chest X-ray representations AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Callegaro, Dario	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Calzoni, Alessia	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Casali, Paolo Giovanni	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Celi, Leo Anthony	Fairness Of AI Models in vector embedded Chest X-ray representations
Cerioli, Roberto Clemens	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Chatterjee, Soumick	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Chicco, Davide	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Christoph, Bert	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Cirella, Antonio	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Claes, Peter	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Consolandi, Monica	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions Risk Communication in Healthcare: The Management of Misunderstandings
Constantinou, Anthony C.	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Costantini, Stefania	Blueprint Personas in Digital Health Transformation
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Daramola, Olawande	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
de Arriba-Pérez, Francisco	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
de Campos Souza, Paulo Vitor	Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals
De Rose, Edoardo	Features selection throught autoencoder filtering and DeepShap: an iterative algorithm AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Di Cesare, Ernesto	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Di Napoli, Claudia	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Dodaro, Carmine	Nuclear Medicine Rescheduling Problem: A Logic-based Approach Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
Dragoni, Mauro	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions Assessing the Validity of a Functional Status Knowledge Graph in a Large-Scale Living Lab Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals Risk Communication in Healthcare: The Management of Misunderstandings
Dressler-Steinbach, Iris	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Duroux, Diane	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
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Eppel, Florian	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Ezugwu, Absalom	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
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Fazio, Peppino	A physics-based view of brain-network alteration in neurological disease
Fazio, Sofia	A physics-based view of brain-network alteration in neurological disease
Ferretti, Stefano	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Fietkau, Rainer	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Filice, Francesca	IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Frey, Benjamin	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
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Gaipl, Udo	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Galatà, Giuseppe	Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Galazzo, Gianluca	Capturing the dynamics of microbial interactions through individual-specific networks
García-Méndez, Silvia	Detecting anxiety and depression in dialogues: a multi-label and explainable approach
Gasparini, Francesca	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering A physics-based view of brain-network alteration in neurological disease
Gennaro, Gisella	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Ghanbari Haez, Saba	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Gherardi, Marco	A physics-based view of brain-network alteration in neurological disease
Greco, Gianluigi	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models Features selection throught autoencoder filtering and DeepShap: an iterative algorithm AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
Gronchi, Alessandro	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Guzzo, Antonella	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Göbl, Christian	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
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Hamidi, Hassan	Fairness Of AI Models in vector embedded Chest X-ray representations
Herding, Annika	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Hernich, Wolfgang	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Hommersom, Arjen	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Hoskens, Hanne	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Hosseinipour, Mohammad	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Hudukula Ram Kumar, Sri Chandana	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
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Khatun, Rupali	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Kolajo, Taiwo	Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI
Kotler, Harel	Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks
Kotzaeridi, Grammata	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
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Lanubile, Filippo	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Leonardi, Giorgio	Similarity-based positional encoding for enhanced classification in medical images
Li, Zuqi	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Locatelli, Marco	Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Logroscino, Giancarlo	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Lombaers, Marike	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Loreti, Michele	Encoding Methods Comparison for Stress Detection
Lucas, Peter J.F.	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
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Macrì, Megan	Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images
Magnini, Matteo	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Magnolini, Simone	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions Risk Communication in Healthcare: The Management of Misunderstandings
Mallardi, Giulio	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Mannone, Maria	A physics-based view of brain-network alteration in neurological disease
Mannone, Maria	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Maratea, Marco	Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Marazita, Mary	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Marconi, Luca	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Marte, Cinzia	Nuclear Medicine Rescheduling Problem: A Logic-based Approach IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Marwan, Norbert	A physics-based view of brain-network alteration in neurological disease
Marzullo, Aldo	Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Mattern, Hendrik	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Melograna, Federico	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity Capturing the dynamics of microbial interactions through individual-specific networks
Miceli, Rosalba	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Mochi, Marco	Nuclear Medicine Rescheduling Problem: A Logic-based Approach
Mommers, Monique	Capturing the dynamics of microbial interactions through individual-specific networks
Monaldini, Andrea	Blueprint Personas in Digital Health Transformation
Montagna, Sara	Bridging AI and Healthcare: Trustworthy and Transparent Diagnostic Solutions with Informed Machine Learning Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Morettini, Micaela	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Müller-Myhsok, Bertram	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
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Ndlalane, Simmera	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Nürnberger, Andreas	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
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Otegbeye, Olumuyiwa	Strategic Optimization of Blood Supply Chain Management for Efficient Blood Bank Operations
Ott, Oliver J.	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
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Palumbo, Pierpaolo	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Paragliola, Giovanni	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering
Penders, John	Capturing the dynamics of microbial interactions through individual-specific networks
Perri, Simona	IDADA: A Blended Inductive-Deductive Approach for Data Augmentation
Piersanti, Agnese	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Pijnenborg, Johanna	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Pirovano, Efrem	CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies
Portinale, Luigi	Similarity-based positional encoding for enhanced classification in medical images
Provenzano, Salvatore	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
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Quadrini, Michela	Encoding Methods Comparison for Stress Detection
Quarta, Alessandro	AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights
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Radhakrishna, Chethan	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Ranzini, Marta Bianca Maria	Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
Reijnen, Casper	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Renooij, Silja	Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support
Ribino, Patrizia	Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering A physics-based view of brain-network alteration in neurological disease
Rocchi, Niccolò	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
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Salcuni, Giuseppe Pio	Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients
Salvatori, Benedetta	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Sanna, Leonardo	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Santini, Silvano Junior	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Santomauro, Andrea	Similarity-based positional encoding for enhanced classification in medical images
Savardi, Mattia	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Schwikowski, Benno	Capturing the dynamics of microbial interactions through individual-specific networks
Scutari, Marco	Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
Segala, Marina	"Doctor, is it normal?" Enabling medical chatbots to provide certified replies to normalcy questions
Sellergren, Andrew	Fairness Of AI Models in vector embedded Chest X-ray representations
Semrau, Sabine	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Serenelli, Marco	Encoding Methods Comparison for Stress Detection
Seyyed-Kalantari, Laleh	Fairness Of AI Models in vector embedded Chest X-ray representations
Shriver, Mark	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Signoroni, Alberto	Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues
Sinatti, Gaia	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Speck, Oliver	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Stella, Fabio	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
Sutrave, Raviteja	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
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Tafuri, Benedetta	A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model
Tinè, Gabriele	A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework
Trama, Annalisa	Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma
Tura, Andrea	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
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van Best, Niels	Capturing the dynamics of microbial interactions through individual-specific networks
Van Steen, Kristel	Capturing the dynamics of microbial interactions through individual-specific networks
Van Steen, Kristel	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Varma Chintalapati, Karthikesh	SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
Vittorini, Pierpaolo	To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models
Vozna, Alina	Blueprint Personas in Digital Health Transformation
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Wadepohl, Martin	Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
Walsh, Susan	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Wegener, Silke	Identification and validation of gestational diabetes subgroups by data-driven cluster analysis
Weinberg, Seth	netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
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Yousefi, Behnam	Capturing the dynamics of microbial interactions through individual-specific networks
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Zanga, Alessio	On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors Causal Discovery for Rare Disease Research: Iterative Refinement Applied to Soft Tissue Sarcoma Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer
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Óskarsdóttir, Maria	Encoding Methods Comparison for Stress Detection

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