Mo.P29.I-14
GEOFUSE: A SCALABLE MULTIMODAL GREENSPACE QUANTIFICATION AND FUSION TOOLBOX
Armin Ghayur Sadigh, Emmanuel Stefanakis, Sayeh Bayat, University of Calgary
Session:
Mo.P29: AI/ML Methods, Multimodal Analytics, Fairness & Emerging Applications Poster
Track:
Biomedical & Health Informatics
Location:
Hall E; Bay I, Board #14
Presentation Time:
Monday, 27 July, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session Mo.P29
Mo.P29.I-1: Learning from Multiple Timescales in the EHR: A Multiscale Modelling Approach from Time Series and Clinical Narratives
Yang Yu, Zhaohang Niu, Huijuan Yang, Zeng Fan, Institute for Infocomm Research (I2R); Shier Nee Saw, Universiti Malaya; Pavitra Krishnaswamy, Institute for Infocomm Research (I2R)
Mo.P29.I-2: Pilot Study: An Objective Evaluation of Palpation Skills in Edema Assessment Based on Finger Force
Koki Ebina, Mitsuhiro Goto, Masato Fukuda, NTT Corporation; Aya Saitoh, Noriko Yagyuda, Niigata University; Shigekuni Kondo, NTT Corporation; Sayuri Sakai, Niigata University
Mo.P29.I-3: ULTRAFLWR – AN EFFICIENT FEDERATED SURGICAL OBJECT DETECTION FRAMEWORK
Yang Li, Soumya Snigdha Kundu, Maxence Boels, Toktam Mahmoodi, Sebastien Ourselin, Tom Vercauteren, King's College London; Prokar Dasgupta, Guy's Hospital; Jonathan Shapey, King's College Hospital; Alejandro Granados, King's College London
Mo.P29.I-4: THE IMPACT OF WHITE-BOX ADVERSARIAL ATTACKS ON GROUP FAIRNESS IN MACHINE LEARNING MODELS FOR PROSTATE CANCER DIAGNOSIS
Kosmas Apostolidis, Dimitrios Zaridis, Eugenia Mylona, Vasileios Pezoulas, Nikolaos Tachos, Biomedical Research Institute (BRI); Kostas Marias, Manolis Tsiknakis, Computational BioMedicine Laboratory; Dimitrios Fotiadis, Biomedical Research Institute (BRI)
Mo.P29.I-5: DERIVATION AND VALIDATION OF A COMPUTATIONAL FLUID DYNAMICS-BASED RESTING PRESSURE RATIO FOR CORONARY PHYSIOLOGY
Panagiotis Siogkas, Sokratis Dimos, Dimitrios Pleouras, University of Ioannina; Marios Siasiakos, University of Milan; Yvemarie Somsen, Amsterdam UMC, Vrije Universiteit Amsterdam; Karol Sadowski, Warsaw Medical University; Roel Driessen, Paul Knaapen, Amsterdam UMC, Vrije Universiteit Amsterdam; Dimitrios Fotiadis, University of Ioannina
Mo.P29.I-6: PGRAN: A GAUSSIAN-ENHANCED NONLINEAR NETWORK FOR SPEECH EMOTION RECOGNITION USING PROBABILISTIC CLUSTERING-BASED AGGREGATION
Anastasia Pentari, Ioannis Kyprakis, Foundation for research and technology Hellas (FORTH); George P. Kafentzis, University of Crete (UoC); Kostas Marias, Manolis Tsiknakis, Foundation for research and technology Hellas (FORTH)
Mo.P29.I-7: PRIVACY-PRESERVING CLINICIAN-IN-THE-LOOP SYSTEM FOR DIETARY HEALTH MONITORING AND SYMPTOM REPORTING
Oliver Cafferty, Eric Pelletier, Zheyan Tu, Sean Jeffries, Matthew Goldsmith, Thomas Hemmerling, McGill University
Mo.P29.I-8: A Simulation-Based Neural-SIR Framework for Robust Evaluation of Forecasting Models under Inter-Regional Stochastic Epidemiological Dynamics.
Sofia Zahri, Jesús Requena-Carrión, Queen Mary University of London
Mo.P29.I-9: ROBUST PREDICTION OF SPR RESPONSE USING PHYSICS-INFORMED NEURAL NETWORKS
Geet Khatri, Jeffrey Barahona, Spyridon Pavlidis, Edgar Lobaton, North Carolina State University
Mo.P29.I-10: CAMERA-BASED MOSQUITO ESCAPE RESPONSE DETECTION UNDER DIFFERENT INTERFERENCES
Xiaozhu Liu, Guanghang Liao, Huailei Lai, Southern University of Science and Technology; Ningbo Zhao, The Third People's Hospital of Shenzhen; Wenjin Wang, Southern University of Science and Technology
Mo.P29.I-11: Regression-Based Prediction of Quality of Life in Breast Cancer Patients Using Foundation Models and Multimodal Data
Angeliki Botoni, Eleni I. Georga, Georgia S. Karanasiou, Vasileios C. Pezoulas, Nikolaos Tachos, Adam D. Kypriadis, Alexandros Mitsis, Panagiotis K. Siogkas, University of Ioannina; Ioannis Kyprakis, Hellenic Mediterranean University; Ketti Mazzocco, University of Milan, and European Institute of Oncology; Elisavet L Fotiou, Medical School University of Cyprus; Kalliopi Keramida, National and Kapodistrian University of Athens, and Athens University Hospital Attikon; Katerina Naka, University of Ioannina; Maria Angeliki Toli, Karolinska University Hospital, and Karolinska Institute; Domen Ribnikar, Institute of Oncology Ljubljana; Cameron Brown, Stremble Ventures Ltd; Elsa Pacella, European Society of Cardiology; Anca Bucur, Philips Research Europe; Yiorgos Goletsis, University of Ioannina; Kostas Marias, Institute of Computer Science Foundation for Research and Technology - Hellas (FORTH); Manolis Tsiknakis, Hellenic Mediterranean University; Dimitrios I. Fotiadis, University of Ioannina, and Biomedical Research Institute Foundation for Research and Technology-Hellas
Mo.P29.I-12: AUTOMATED ORTHODONTIC DIAGNOSIS VIA GEOMETRIC DEEP LEARNING: A CLINICALLY INTERPRETABLE FRAMEWORK
Ali Shadman Yazdi, Benedetta Baldini, Politecnico di Milano; Gianluca Tartaglia, University of Milan; Giuseppe Baselli, Politecnico di Milano
Mo.P29.I-13: FEDERATED LEARNING FOR SMALL-FOR-GESTATIONAL-AGE PREDICTION: A MULTI-COUNTRY EVALUATION ON REAL-WORLD ANTENATAL DATA
Zhaohang Niu, Universiti Malaya; Yang Yu, A*STAR; Yeyang Liu, University of Zürich; Citra Mattar, National University of Singapore; Praveen Kumar Nirmalan, Rijo Mathew Choorakuttil, AMMA Center for Diagnosis and Preventive Medicine Pvt Ltd; Neha Sethi A/P Naresh Sethi, Shier Nee Saw, Universiti Malaya
Mo.P29.I-14: GEOFUSE: A SCALABLE MULTIMODAL GREENSPACE QUANTIFICATION AND FUSION TOOLBOX
Armin Ghayur Sadigh, Emmanuel Stefanakis, Sayeh Bayat, University of Calgary
Mo.P29.I-15: MULTIMODAL CONTRASTIVE ALIGNMENT OF HISTOPATHOLOGY AND BULK TRANSCRIPTOMICS IN BREAST CANCER
Sogand Zamani Khah, Zahra Shakeri, Mohammad Noaeen, University of Toronto
Resources
No resources available.