Hamid Behravan
Senior Researcher
Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences
hamid.behravan@uef.fi | +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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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 -
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 -
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 -
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 -
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 -
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 -
Advances in automatic foreign accent recognition
Behravan Hamid. 2016. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences -
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 -
Boosting Universal Speech Attributes Classification with Deep Neural Network for Foreign Accent Characterization
Hautamäki Ville, Siniscalchi Sabato, Behravan Hamid, Salerno Valerio Mario, Kukanov Ivan. Teoksessa: -(toim.) , 2015. Proceedings of Interspeech 2015. s. 408-412. -
i-Vector Modeling of Speech Attributes for Automatic Foreign Accent Recognition
Behravan Hamid, Hautamäki Ville, Siniscalchi Sabato Marco, Kinnunen Tomi, Lee Chin-Hui. 2015. IEEE/ACM transactions on audio, speech, and language processing. 2016; 24: 29-41