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ORCID7th IDDM 2024: Birmingham, UK
- Natalia Shakhovska, Jianbo Jiao, Ivan Izonin, Stéphane Chrétien:
Proceedings of the 7th International Conference on Informatics & Data-Driven Medicine, Birmingham, United Kingdom, November 14-16, 2024. CEUR Workshop Proceedings 3892, CEUR-WS.org 2025
Session 1
- Temitayo Balogun, Olufemi Akinyede, Sanuel Faluyi:
Comparative Analysis of Convolutional Neural Networks and Rulebased Techniques for Epileptic Seizure Detection From Electroencephalograph Signals Using a Text Classification Approach. 1-10 - Sergii Babichev, Oleg Yarema, Ihor Liakh:
A Hybrid Inductive Model for Gene Expression Data Processing Using Spectral Clustering. 11-19 - Maria Popa, Anca Andreica:
Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods. 20-31 - Eugene Fedorov, Tetyana Utkina, Olga Nechyporenko, Maryna M. Leshchenko, Kostiantyn Rudakov, Ihor Zubko:
The Method of Intelligent Classification Based on Deep Associative Neural Networks. 32-46 - Serge Dolgikh, Oksana Mulesa, Volodymyr Sabadosh:
Learning With Small Data: What Can Be Inferred From Small Samples? 47-56 - Ihor Berezhnyi, Adrian Nakonechnyi:
Multiresolution Analysis of Poor Remote Photoplethysmography Signal Using Wavelet Transform. 57-72 - Oleh Berezsky, Oleh Pitsun, Grygory Melnyk, Hanna Poperechna:
Microservices-Based Architecture for Biomedical Image Processing Software. 73-80 - Yurii Baryshev, Vladyslava Lanova:
Method of Patients' Data Protection on the Instance of Chemotherapy Dosing Data for Ewing's Sarcoma Treatment. 81-91 - Oles Telikhovskyi, Roman Komarnytsky, Vasyl Koval, Khrystyna Lipianina-Honcharenko, Vitaliy Dorosh, Mykola Telka:
Intelligent Advisory Innovative Framework of Enhanced Doctor-Patient Interaction for Healthcare Providers. 92-101 - Samuel Gbenga Faluyi, Yousra Chabchoub, Maurras Togbe, Jérémie Sublime:
Application of Explainable AI to Healthcare: A Review. 102-114 - Mykola Butkevych, Ievgen Meniailov, Kseniia Bazilevych, Yurii Parfeniuk, Dmytro Chumachenko:
Simulation of Influenza Dynamics With Lstm Deep Learning Model. 115-125 - Sebastian Górecki, Wiktoria Duszczyk, Zuzanna Huda, Andrzej Faryna, Aleksandra Tatka:
Web-Based Melanoma Detection System Using Convolutional Neural Networks and Advanced Image Processing. 126-143 - Mohamed Adel, Mohamed Aborizka:
Automated Radiology Report Generation From Chest X-Ray Images Using Chexnet and Transformer-Lstm Architecture. 144-159 - Yurii Oliinyk, Mariia Kapshuk, Leonid Oliinyk:
Software for Anomaly Detection in MRI Images. 160-170 - Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko:
Resource-Efficient Solutions for Data Security at the Network Level of the Medical Internet of Things. 171-182
Session 2
- Fayçal Touazi, Djamel Gaceb, Chaima Belkadi, Besma Loubar:
A Self-Supervised Learning Approach for Detecting Brca Mutations in Breast Cancer Histopathological Images. 183-195 - Yaroslav Strelchuk, Alina S. Nechyporenko, Marcus Frohme, Vitaliy Gargin, Andrii Lupyr, Victoriia Alekseeva:
Detection of Stress Using Photoplethysmography. 196-202 - Norelhouda Laribi, Djamel Gaceb, Fayçal Touazi, Abdellah Rezoug, Abdelmoumen Sahad, Massine Omar Reggai:
Ensemble Deep Learning of CNN vs Vision Transformers for Brain Lesion Classification on MRI Images. 203-219 - Tetiana Cherniavska, Bohdan Cherniavskyi, Tamar Sanikidze, Alexander Sharashenidze, Magda Tortladze, Maka Buleishvili:
Optimization of Medical Logistics With Bee Colony Algorithms in Emergency, Military Conflict and Post-war Remediation Settings. 220-235 - Yaroslav Sokolovskyy, Olesia-Oksana Vilchynska, Andrii Mokrytskyi:
Modeling and Numerical Analysis of the Effects of Chemotherapy on the State of a Cancerous Tumour Based on Fractional-Order Derivatives. 236-250 - Yaroslav Sokolovskyy, Volodymyr Bereziuk, Maryana Levkovych, Mykhailo Paslavskyi:
Research of Algorithms Based on Fractional Differential Derivatives for Improving Medical Images. 251-267 - Olga Pavlova, Vitalii Alekseiko, Vladyslav Karabaieva, Andrii Kuzmin:
Artificial Intelligence-Based Method for Face Skin Diagnostic. 268-278 - Pavlo Horun, Chirstine Strauss:
Cloud-Based Approach on Genetic Data Imputation Parameters Optimization. 279-286 - Roman Hasko, Oleksandra Hasko, Hakan Kutucu:
Internet of Robotic Things (IoRT) Approach to Lifelong Learning and Medical Education With Internet of Medical Things (IoMT). 287-294 - Lesia I. Mochurad, Renata Vladyka:
Development and Analysis of a Parallel Method for Detecting Chromosomal Translocations and Inversions in DNA Sequences. 295-303 - Tetiana Hovorushchenko, Olha Hovorushchenko, Anatolii Korol, Valentyna Hnenna, Artem Boyarchuk:
MentSDet: Concept of Mobile-Oriented Multimodal Information System for Determining the Patient's Mental State. 304-318 - Tetiana Cherniavska, Bohdan Cherniavskyi:
Architecture-Oriented Agent-Based Model (AOAM) for Optimizing Transport Evacuation Management and Emergency Medical Assistance in the Context of the War in Ukraine: Challenges and Prospects. 319-336 - Iryna Dymun, Oleh Basystiuk, Andriy Dumyn:
Graph-Based Approaches for Multimodal Medical Data Processing. 337-348 - Oleh Berezsky, Petro Liashchynskyi, Grygoriy Melnyk, Maksym Dombrovskyi, Mykola Berezkyy:
Synthesis of Biomedical Images Based on Generative Intelligence Tools. 349-362 - Mariia Zimokha, Kyrylo Yemets:
Exploring the Role of Transformer-Based Language Models in Medical Transcript Summarization. 363-370 - Solomiia Liaskovska, Yevgen Martyn, Andy T. Augousti, Svytoslav Kytsara:
Development and Modeling of Parameter Areas of an Information System for Rehabilitation. 371-378
Session 3
- Ivan Izonin, Roman Tkachenko, Iryna Pliss, Yaroslav Tolstyak, Kyrylo Yemets, Olha Chala, Myroslav Havryliuk, Stéphane Chrétien:
Artificial Intelligence in Medicine: Small Data Approach. 379
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