AIBH is a BIBM 2025 Workshop
2025 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2025)
https://biod.whu.edu.cn/bibm2025/
December 15-18, 2024 - Wuhan, China
Organizers: Ester Zumpano (DIMES, University of Calabria), Luciano Caroprese (InGeo, University of Chieti-Pescara), Pierangelo Veltri (DIMES, University of Calabria),
Workshop style: full online
Introduction to Workshop:
The application of AI in medicine has two main branches: the virtual and the physical branch. The first refers to the use of machine learning or deep learning techniques to improve learning by experience and has significantly boosted the discoveries in genetic and molecular medicine; the physical branch relates to sophisticated robots and medical devices that are involved in the delivery of care. Applications of AI will become more and more diffuse in the next few years, thanks to the advances in natural language processing and social awareness algorithms and, last but not least, the unprecedented amount of available data.
The need for AI in health care is crucial! A huge volume of data related to patient medical records and also obtained by wearable health sensors has to be managed and analyzed in detail. Data is routinely collected in health care, but much remains to do. Data is often incomplete or inaccurate, and this results in being critical in some processes.
A great challenge is to build better modeling tools for integrating human expertise and machine learning techniques to exploit big data in biomedicine and healthcare, generating hypotheses about how human organisms act in health and illness.
We are quite confident that this topic is a hot topic for the research community and a relevant and intriguing topic for the conference audience.
Research topics
The workshop on Artificial Intelligence Techniques for BioMedicine and HealthCare aims at bringing together researchers from academia, industry, government, and medical centers in order to present and improve the international state of the art and the latest advances in the intriguing area of the use of Artificial Intelligence in the fields of BioMedicine, healthcare and in general wellbeing. AIBH is expected to cover both theoretical and practical aspects, as well as technologies and tools of AI in biomedicine, healthcare and wellbeing. The workshop will cover a wide spectrum of issues, from those aimed at easing and supporting healthcare professionals' work to those devoted to improving patients’ lives. The workshop also aims at discussing computational models, social computing, and agent-based solutions applied to practical solutions that address topics related to Healthcare.
Topics of interest include, but are not limited to:
- AI in Healthcare Support Systems
- AI for Personalized Healthcare
- AI in Medical Imaging
- AI in Biomedicine
- AI in mHealth, eHealth, and Wearable Health
- Medical Expert Systems
- New computational platforms and models for health data;
- AI in medical and healthcare education;
- AI and data science in medicine, medically-oriented human biology, and healthcare;
- AI-based modeling and management of healthcare pathways and clinical guidelines;
- AI in Personalization of clinical care
- Health Care Information Systems;
- Applications of AI in Health Care and Wellbeing Systems;
- Machine and Deep learning approaches for Health Data;
- Neural Networks in Health Care;
- Multi-modal Data Fusion and Representation
- Important Dates
- Oct 28, 2025: Due date for full workshop papers submission
- Nov 10, 2025: Notification of paper acceptance to authors
- Nov 23, 2025: Camera-ready of accepted papers
- Dec 15-18, 2025: Workshop
Paper Submission:
Length of paper
Full-paper: 8 pages
Short-paper: 2 pages
Please submit a paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instruction here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). All accepted papers will be included in the main conference proceedings which are included in the IEEE digital library indexed by Google Scholar and Scopus. Special Issues on important Journals are also planned.
Online Submission Web Site:
https://wi-lab.com/cyberchair/2025/bibm25/scripts/submit.php?subarea=S28
Program Chairs
Ester Zumpano - DIMES University of Calabria, e.zumpano@dimes.unical.it
Pierangelo Veltri – DIMES University of Calabria, pierangelo.veltri@dimes.unical.it
Luciano Caroprese - InGeo University of Chieti-Pescara, luciano.caroprese@unich.it
Program Committee Members
Sergio Flesca, University of Calabria, Italy
Ester Zumpano, University of Calabria, Italy
Andrea Calì, University of London, UK
Eugenio Cesario, ICAR-CNR, Italy
Jorge Bernardino, Polytechnic Institute of Coimbra - ISEC, Portugal
Saso Dzeroski, Jozef Stefan Institute, Dept. of Knowledge Technologies, Slovenia
Patrizia Vizza, DMSC University Magna Graecia of Catanzaro
Alicja Wieczorkowska, Polish-Japanese Academy of
Information Technology, Poland
Domenico Ursino, Università Politecnica delle Marche, Italy
Luca Virgili, Università Politecnica delle Marche, Italy
Luigi Pontieri, ICAR-CNR, Italy
Luciano Caroprese, ICAR-CNR, Italy
Shahaboddin Shamshirband, Ton DucThang University, Viet Nam
Carmela Comito, ICAR-CNR, Italy
Agostino Forestiero, ICAR-CNR, Italy
Eugenio Vocaturo, University of Calabria, Italy
Elio Masciari, Università degli Studi di Napoli Federico II, Italy
Sanghoon Lee, Kennesaw State University
Tommaso Ruga, DIMES University of Calabria
Fabiola De Marco, University of Salerno
Steering Committee Members
Luciano Caroprese (InGeo University of Chieti-Pescara, Italy)
Ester Zumpano (DIMES - University of Calabria, Italy)
Eugenio Vocaturo (DIMES - University of Calabria, Italy)
Carmela Comito (National Research Council of Italy (CNR), Italy)
DRAFT SCHEDULE (WUHAN TIME ZONE)
Workshop in Artificial Intelligence Techniques for BioMedicine and HealthCare
AIBH@BIBM2025
Workshop Style: Full online workshop
Date: December 16, 2025
Workshop Chairs: Ester Zumpano, Pierangelo Veltri, Luciano Caroprese
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Join the meeting now
Meeting Link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_MzI3MzE3MTAtNWU5NC00MzNlLTg5YmEtYzVhZTNjM2MwZTI0%40thread.v2/0?context=%7b%22Tid%22%3a%227519d0cd-2106-47d9-adcb-320023abff57%22%2c%22Oid%22%3a%225b626ede-08e8-4553-9d1c-fcc4b1897cab%22%7d
Meeting ID: 396 017 634 344 0
Passcode: oz7PL3oQ
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8:00 Workshop Introduction (online)
Session 1 (online)- Chair: Ester Zumpano
08:00 – 08:15 B2284, Predicting Risk Factors for Suicidal Ideation using Interpretable Artificial Intelligence Methods, Rameshbabu Manyam, June Yun, Pengfei Lou, Lori Scott, and Robert Krafty
08:15 – 08:30 S28201, From CT Scans to 3D Printed Models: A Pipeline for Mandible Surgical Planning, Ana Saraiva, Margarida Gouveia, Catarina Lopes, Jorge Marinho, Tania Pereira, and Joaquim Mendes
08:30 – 08:45 S28202, Enhancing Patient Comprehension of Discharge Notes with a Retrieval-Augmented LLM Approach, Mahshad Koohi Habibi Dehkordi, Junyu Lu, Yehoshua Perl, and Fadi P. Deek
08:45 – 09:00 S28204, Optimizing Manual Review Using Machine Learning in Interface Terminology Curation for Automatic EHR Highlighting, Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, and Fadi P. Deek
09:00 – 09:15 S28208, U-KAN: Hybrid Spatial-Functional Deep Learning for Tumor Depth Estimation in Fluorescence-Guided Cancer Surgery, Xinyuan Huang, Hikaru Kurosawa, Jack Wunder, Sujit Patil, Jiechao Gao, Karthik Kuber, Jonathan Irish, and Michael Daly
09:15 – 09:30 B2331, vHeatSR: Vision Model Based on Heat Conduction for Medical Image Super-Resolution, Jingtao Zhang, Long Gao, and Zhiqun Xiao
09:30 – 09:45 B624, Towards Trustworthy Knowledge Extension in Clinical Decision Support: An LLM-Agent Approach, Shun Wang, Liang Xiao, JianXia Chen, and Wenxin Liu
09:45 – 10:00 B400, Research on a general modeling method of Clinical Decision Support Systems based on Resource Description Framework, Shun Wang, Liang Xiao, JianXia Chen, Wenxin Liu, and Zhenyu Xu
10:00 – 10:15 S28212, On the Use of Graph Convolutional Network for Detecting Major Depressive Disorders using EEG Signals, Zakaria Alaimia, Larbi BOUBCHIR, and Youssef Elmir
10:15 – 10:30 B692, Portable EEG-Driven Mental Fatigue Modulation with On-Board Executable CNN and Adaptive Blue-Enriched Light Feedback, Bingjie Chen, Fuze Tian, Lixin Zhang, Qinglin Zhao, and Bin Hu
10:30 – 10:45 Virtual Coffee Break
Session 2 (online)- Chair: Tommaso Ruga
10:45 – 11:00 B1395, AutoML-Med: a tool for optimizing pipeline generation in medical ML, Riccardo Francia, Giorgio Leonardi, Stefania Montani, Sandra D'Alfonso, Maurizio Leone, Marzio Pennisi, and Manuel Striani
11:00 – 11:15 B748, Lifting Wavelet Transform-based Network for Liver Segmentation in CT scans, Huaxiang Liu, Wei Sun, Baicheng Qu, Youyao Fu, Shiqing Zhang, Wenbin Ji, and Jiangxiong Fang
11:15 – 11:30 B872, Causality-Enhanced LLM Fine-tuning Method for Multimodal Time Series Classification, Shuang Wu, Yingwei Zhang, and Haopeng Sun
11:30 – 11:45 B999, Multi-modal Timely Pancreatitis Severity Assessment via Hierarchical Evidential Conflictive Learning, Houli Fan, Lijun Guo, Xiuchao He, Bang Cheng, Wentao He, Yingqing Zeng, Jiang Duan, and Rong Zhang
11:45 – 12:00 B1106, EEG Channel Selection Algorithm Based on Attention Mechanism for Emotion Recognition, Yifan Bai, Liying Yang, Ruiqi Gao, Qiang Wang, Jiayun Song, and Kai Yao
12:00 – 12:15 B1185, A Knowledge-Guided Large Language Model Framework for Microbiome-Based Disease Diagnosis, Chengyuan Liu, Huiye Han, Youran Qi, and Wodan Ling
12:15 – 12:30 B1253, Personalizing Federated Learning Guided by Site-aggregated Representation for Multi-site One-shot Medical Image Segmentation, Jia Wang, Yuchen Sun, Yunan Mei, Zihao Xu, and Xin Fan
12:30 – 12:45 B1945, HiSAN: A Hierarchical Segment Attention Network for ECG-based Emotion Recognition, Tianze Xu, Xunde Dong, Yang Yang, Chen Xu, and Xiuling Liu
12:45 – 13:00 B1551, Knowledge-Guided Dual-View Self-Supervised Learning for Robust FHR Signal Classification, Yiting Peng, Yu Lu, and Junsong Wang
13:00 – 14:00 Lunch
Session 3 (online) - Chair: Eugenio Vocaturo
14:00 – 14:15 B1267, Glaucoma Grading Classification Method based on RNFL 3D Points Cloud Reconstruction and Structural Characterization Analysis over Macular OCT, Tie Hua Zhou, Wenxiu Li, Tong Li, Xiaoyan Xia, and Ling Wang
14:15 – 14:30 S28211, Geospatial Analysis Using Transformer on TOAR and Meteorological Data for Early Warning of Particulate Matter Exceedance, Mridula Mavuri, Subhajit Chakrabarty, Udaysinh Rathod, and Devesh Sarda
14:30 – 14:45 S28210, Evaluating Deep Learning Architectures for Actin Filament Segmentation under Varying Noise Conditions in Simulated Cryo-ET Tomograms, Md Ehashan Rabbi Pial, Farhan Noor Dehan, Willy Wriggers, and Salim Sazzed
14:45 – 15:00 B1425, MedArg-Assist: An Explainable Framework for Clinical Treatment Plan Verification Based on Argumentation Chains and Knowledge Augmentation, Wenxin Liu, Liang Xiao, and Shun Wang
14:30 – 14:45 B1493, HKAFusion: Hybrid Kernel Attention Network for Medical Image Fusion, Siqi Zeng, Hongjun Liu, Chao Yao, Jinsheng Sun, Sha Tao, and Xiaojuan Ban
14:45 – 15:00 B2226, Depression Detection Based on Self-Supervised Pretrained Speech Models, Yiming Zhang, Zhuo Chen, Peite Guo, Dongdong Li, and Ke Zhao
14:45 – 15:00 B2279, Efficient Integration of Non-negative Matrix Factorization and ConvNets: A Case study in Valvular Heart Disease Detection, Amit Sengupta, Ashis Kumer Biswas, and Tom Altman
Session 4 (online) - Chair: Ester Zumpano / Tommaso Ruga / Eugenio Vocaturo
15:15 – 15:30 S28207, FLIP VIT: An Explainable Federated Learning Framework for Privacy-Preserving Biomedical Imaging Analysis, Francesco Mercaldo, Marcello Di Giammarco, Filomena Niro, Miriam Di Renzo, Mario Cesarelli, Fabio Martinelli, Patrizia Agnello, Marta Petyx, and Antonella Santone
15:30 – 15:45 S28206, BIOFED: A Biomedical Federated and Explainable Framework for Object Detection, Francesco Mercaldo, Marcello Di Giammarco, Filomena Niro, Miriam Di Renzo, Mario Cesarelli, Fabio Martinelli, Patrizia Agnello, Marta Petyx, and Antonella Santone
15:45 – 16:00 S28205, From Data to Diagnosis: A Deep Learning Approach for Predicting Periodontal Risk in Lower Incisors, Luigia Rizzo, Domenico Rossi, Fabiola De Marco, Davide Cannatà, Marzio Galdi, Monica Maria Lucia Sebillo, and Genoveffa Tortora
16:00 – 16:15 S28209, Transformer-based analysis for detecting pulmonary nodules in CT scans: Preliminary results, Martina De Salazar, Fatih Aksu, Raffaele Giancotti, Fabrizia Gelardi, Patrizia Vizza, Pietro Hiram Guzzi, Paolo Soda, Giuseppe Tradigo, Arturo Chiti, and Pierangelo Veltri
16:15 – 16:30 S28213, AdaptiveGait: A Fair-by-Design Architecture for Gait-Aware Fall Detection in Smart Walkers, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, and Eugenio Vocaturo
Closing Remarks
