| Invasive cancerous area detection in Non-Muscle invasive bladder cancer whole slide images S Fuster, F Khoraminia, U Kiraz, N Kanwal, V Kvikstad, T Eftestøl, ... 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 19 | 2022 |
| Quantifying the effect of color processing on blood and damaged tissue detection in whole slide images N Kanwal, S Fuster, F Khoraminia, TCM Zuiverloon, C Rong, K Engan 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 19 | 2022 |
| Vision transformers for small histological datasets learned through knowledge distillation N Kanwal, T Eftestøl, F Khoraminia, TCM Zuiverloon, K Engan Pacific-Asia Conference on Knowledge Discovery and Data Mining, 167-179, 2023 | 18 | 2023 |
| Artificial intelligence in digital pathology for bladder cancer: hype or hope? A systematic review F Khoraminia, S Fuster, N Kanwal, M Olislagers, K Engan, ... Cancers 15 (18), 4518, 2023 | 14 | 2023 |
| Active learning based domain adaptation for tissue segmentation of histopathological images S Fuster, F Khoraminia, T Eftestøl, TCM Zuiverloon, K Engan 2023 31st European Signal Processing Conference (EUSIPCO), 1045-1049, 2023 | 6 | 2023 |
| Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs N Kanwal, F Khoraminia, U Kiraz, A Mosquera-Zamudio, C Monteagudo, ... BMC Medical Informatics and Decision Making 24 (1), 288, 2024 | 5 | 2024 |
| Immune-Mediated Tissue Regeneration Driven by a Biomaterial Scaffold: An Innovative Regenerative Medicine Strategy F Faghihi, F Khoraminia, R Imani Pathobiology Research 22 (3), 159-172, 2019 | 1 | 2019 |
| Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images S Fuster, F Khoraminia, J Silva-Rodríguez, U Kiraz, GJLH van Leenders, ... arXiv preprint arXiv:2405.15264, 2024 | | 2024 |
| Abstract B004: Deep learning unveils molecular footprints in histology: predicting molecular subtypes from bladder cancer histology slides F Khoraminia, FC de Jong, F Akram, G Litjens, MDJ Jansen, AN Gonzalez, ... Clinical Cancer Research 30 (10_Supplement), B004-B004, 2024 | | 2024 |
| Deep learning unveils molecular footprints in histology: Predicting molecular subtypes from bladder cancer histology slides F Khoraminia, C de Jong, F Akram, G Litjens, MDC Jansen, AN Gonzalez, ... European Urology 85, S851, 2024 | | 2024 |
| Predicting metastatic relapse in clinical stage I seminoma germ cell tumors using artificial intelligence on histopathological slides F Khoraminia, K Kwakkenbos, G Van Leenders, TCM Zuiverloon, ... European Urology 85, S740, 2024 | | 2024 |
| EMEMI: An interference‐free mini‐incubator with integrated electric and magnetic field exposure for real‐time microscopic imaging of field effects F Alizadeh, M Saviz, F Khoraminia, A Talebipour, R Imani, I Shabani Bioelectromagnetics 45 (2), 33-47, 2024 | | 2024 |
| Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images S Fuster Navarro, F Khoraminia, U Kiraz, N Kanwal, V Kvikstad, ... 2022 IEEE 14th image video and multidimensional signal processing workshop …, 2022 | | 2022 |