| Multi-level dilated residual network for biomedical image segmentation NR Gudhe, H Behravan, M Sudah, H Okuma, R Vanninen, VM Kosma, ... Scientific Reports 11 (1), 14105, 2021 | 27 | 2021 |
| Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning NR Gudhe, H Behravan, M Sudah, H Okuma, R Vanninen, VM Kosma, ... Scientific reports 12 (1), 12060, 2022 | 7 | 2022 |
| Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning NR Gudhe, VM Kosma, H Behravan, A Mannermaa BMC Medical Imaging 23 (1), 162, 2023 | 1 | 2023 |
| An evidential deep learning framework for assessment of mammograms RN Gudhe, S Mazen, R Sund, VM Kosma, H Behravan, A Mannermaa | | 2023 |
| A GRAPH-BASED REPRESENTATION LEARNING APPROACH FOR BREAST CANCER RISK PREDICTION USING GENOTYPE DATA NR Gudhe, H Behravan, A Mannermaa | | 2023 |
| Predicting cell type counts in whole slide histology images using evidential multi-task learning NR Gudhe, M Sudah, A Mannermaa, VM Kosma, H Behravan Medical Imaging 2023: Digital and Computational Pathology 12471, 239-247, 2023 | | 2023 |
| MULTI-VIEW DEEP EVIDENTIAL FUSION NEURAL NETWORK FOR ASSESSMENT OF SCREENING MAMMOGRAMS NR Gudhe, M Sudah, A Mannermaa, VM Kosma, H Behravan | | 2022 |
Hamid BehravanUniversity Researcher, University of Eastern FinlandVerified email at uef.fi
