Hamid Behravan
Senior Researcher
Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences
[email protected] | +358 50 513 9836
Senior researcher in artificial intelligence (AI) technology in breast cancer personalized medicine
Leading the AI group in Institute of Clinical Medicine, Pathology, and Forensic Medicine, University of Eastern Finland
Dr. Hamid Behravan has earned his master’s degree in 2013 and his doctorate in 2016 both in Computer Science from University of Eastern Finland. From 2017, he has been working as a senior researcher at the same university with topics related to AI and cancer. His multi-disciplinary research has attracted over 500k Euro grants from Cancer Society of Finland in 2018 and 2020, and from the European regional development fund. Alongside his own research, Dr. Behravan supervises PhD students. His research team develops innovative explainable AI-based methods to predict the breast cancer risk and the patient outcome using genetics, clinical, and imaging data.
Publications
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A Multi-View Deep Evidential Learning Approach for Mammogram Density Classification
Gudhe, Naga Raju; Mazen, Sudah; Sund, Reijo; Kosma, Veli-Matti; Behravan, Hamid; Mannermaa, Arto. 2024. IEEE access. 12: 67889-67909 A1 Journal article (refereed), original research -
A dataset of mammography images with area-based breast density values, breast area, and dense tissue segmentation masks
Behravan, Hamid; Gudhe, Naga Raju; Okuma, Hidemi; Sudah, Mazen; Mannermaa, Arto. 2024. Data in brief. 57: A1 Journal article (refereed), original research -
Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
Gudhe, Naga Raju; Kosma, Veli-Matti; Behravan, Hamid; Mannermaa, Arto. 2023. Bmc medical imaging. 23: . 162 A1 Journal article (refereed), original research -
Predicting cell type counts in whole slide histology images using evidential multi-task learning
Gudhe, Naga Raju; Sudah, Mazen; Mannermaa, Arto; Kosma, Veli-Matti; Behravan, Hamid. Teoksessa: Tomaszewski, John E; Ward, Aaron D(toim.) , 2023. Medical Imaging 2023: Digital and Computational Pathology. s. 239-247. SPIE A4 Conference proceedings -
Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning
Gudhe, Naga Raju; Behravan, Hamid; Sudah, Mazen; Okuma, Hidemi; Vanninen, Ritva; Kosma, Veli-Matti; Mannermaa, Arto. 2022. Scientific reports. 12: . 12060 A1 Journal article (refereed), original research -
Multi-level dilated residual network for biomedical image segmentation
Gudhe, Naga Raju; Behravan, Hamid; Sudah, Mazen; Okuma, Hidemi; Vanninen, Ritva; Kosma, Veli-Matti; Mannermaa, Arto. 2021. Scientific reports. 11: 14105 A1 Journal article (refereed), original research -
Predicting Breast Cancer Risk Using Interacting Genetic and Demographic Factors and Machine Learning
Behravan, Hamid; Hartikainen, Jaana M; Tengström, Maria; Kosma, Veli-Matti; Mannermaa, Arto. 2020. Scientific reports. 10: 11044 A1 Journal article (refereed), original research -
Machine learning identifies interacting genetic variants contributing to breast cancer risk: a case study in Finnish cases and controls
Behravan, Hamid; Hartikainen, Jaana M; Tengström, Maria; Pylkäs, Katri; Winqvist, Robert; Kosma, Veli-Matti; Mannermaa, Arto. 2018. Scientific reports. 8: 13149 A1 Journal article (refereed), original research -
Advances in automatic foreign accent recognition
Behravan Hamid. 2016. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences G5 Doctoral dissertation (article) -
Out-of-Set i-Vector Selection for Open-set Language Identification
Behravan, Hamid; Kinnunen, Tomi; Hautamäki, Ville. Teoksessa: Lleida, Eduardo; Rodriguez-Fuentes, Luis Javier(toim.) , 2016. Proceedings of Odyssey 2016: The Speaker and Language Recognition Workshop, June 21-24, 2016, Bilbao, Spain. s. 303-310. ISCA SIG on Speaker and Language Characterization A4 Conference proceedings