| Eff-unet: A novel architecture for semantic segmentation in unstructured environment B Baheti, S Innani, S Gajre, S Talbar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 224 | 2020 |
| Semantic scene segmentation in unstructured environment with modified DeepLabV3+ B Baheti, S Innani, S Gajre, S Talbar Pattern Recognition Letters 138, 223-229, 2020 | 76 | 2020 |
| Adam challenge: Detecting age-related macular degeneration from fundus images H Fang, F Li, H Fu, X Sun, X Cao, F Lin, J Son, S Kim, G Quellec, S Matta, ... IEEE transactions on medical imaging 41 (10), 2828-2847, 2022 | 38 | 2022 |
| The 1st agriculture-vision challenge: Methods and results MT Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
| Refuge2 challenge: Treasure for multi-domain learning in glaucoma assessment H Fang, F Li, H Fu, X Sun, X Cao, J Son, S Yu, M Zhang, C Yuan, C Bian arXiv preprint arXiv:2202.08994, 2022 | 19 | 2022 |
| REFUGE2 challenge: A treasure trove for multi-dimension analysis and evaluation in glaucoma screening H Fang, F Li, J Wu, H Fu, X Sun, J Son, S Yu, M Zhang, C Yuan, C Bian, ... arXiv preprint arXiv:2202.08994, 2022 | 6 | 2022 |
| Deep learning based novel cascaded approach for skin lesion analysis S Innani, P Dutande, B Baheti, U Baid, S Talbar International Conference on Computer Vision and Image Processing, 615-626, 2022 | 5 | 2022 |
| Fuse-pn: A novel architecture for anomaly pattern segmentation in aerial agricultural images S Innani, P Dutande, B Baheti, S Talbar, U Baid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Generative adversarial networks based skin lesion segmentation S Innani, P Dutande, U Baid, V Pokuri, S Bakas, S Talbar, B Baheti, ... Scientific Reports 13 (1), 13467, 2023 | 1 | 2023 |
| Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance B Baheti, S Rai, S Innani, G Mehdiratta, SC Guntuku, MLP Nasrallah, ... arXiv preprint arXiv:2302.00669, 2023 | 1 | 2023 |
| Detecting histologic glioblastoma regions of prognostic relevance B Baheti, S Innani, G Mehdiratta, MP Nasrallah, S Bakas arXiv preprint, 2023 | 1 | 2023 |
| INTERPRETABLE IDH CLASSIFICATION FROM H&E-STAINED HISTOLOGY SLIDES S Innani, B Baheti, MLP Nasrallah, S Bakas NEURO-ONCOLOGY 25, 2023 | | 2023 |
| EPCO-15. DETECTING HISTOLOGIC & CLINICAL GLIOBLASTOMA PATTERNS OF PROGNOSTIC RELEVANCE B Baheti, S Rai, S Innani, G Mehdiratta, SC Guntuku, MLP Nasrallah, ... Neuro-Oncology 25 (Supplement_5), v126-v126, 2023 | | 2023 |
| OS03. 6. A UNSUPERVISED CLUSTERING OF MORPHOLOGY PATTERNS ON WHOLE SLIDE IMAGES GUIDE PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA PATIENTS B Baheti, S Innani, MP Nasrallah, S Bakas Neuro-Oncology 25 (Supplement_2), ii15-ii15, 2023 | | 2023 |
| The 1st Agriculture-Vision Challenge: Methods and Results M Tik Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi, ... arXiv e-prints, arXiv: 2004.09754, 2020 | | 2020 |
| Prognostic Stratification of Glioblastoma Patients by Unsupervised Clustering of Morphology Patterns on Whole Slide Images Furthering Our Disease Understanding B Baheti, S Innani, M Nasrallah, S Bakas Frontiers in Neuroscience 18, 1304191, 0 | | |
