| Method to classify skin lesions using dermoscopic images SC Dusa, N Hemanth, S Sahayam, J Umarani arXiv preprint arXiv:2008.09418, 2020 | 56* | 2020 |
| Melanoma classification from dermatoscopy images using knowledge distillation for highly imbalanced data AK Adepu, S Sahayam, U Jayaraman, R Arramraju Computers in biology and medicine 154, 106571, 2023 | 30 | 2023 |
| Brain tumor segmentation using a hybrid multi resolution U-Net with residual dual attention and deep supervision on MR images S Sahayam, R Nenavath, U Jayaraman, S Prakash Biomedical Signal Processing and Control 78, 103939, 2022 | 23 | 2022 |
| A graphical approach for outlier detection in gene–protein mapping of cognitive ailments: an insight into neurodegenerative disorders SG Jacob, MMBA Sulaiman, B Bennet, R Vijayaraghavan, ... Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 22, 2022 | 4 | 2022 |
| A novel modified U-shaped 3-D capsule network (MUDCap3) for stroke lesion segmentation from brain MRI S Sahayam, A Abirami, U Jayaraman 2020 IEEE 4th Conference on Information & Communication Technology (CICT), 1-6, 2020 | 4 | 2020 |
| Can we learn better with hard samples? S Sahayam, J Zakkam, U Jayaraman arXiv preprint arXiv:2304.03486, 2023 | 2 | 2023 |
| Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction S Sahayam, NH Krishna, U Jayaraman International MICCAI Brainlesion Workshop, 284-294, 2019 | 2 | 2019 |
| Codeit: Contrastive data-efficient transformers for deepfake detection J Zakkam, U Jayaraman, S Sahayam, A Rattani International Conference on Pattern Recognition, 62-77, 2025 | 1 | 2025 |
| Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images S Sahayam, U Jayaraman arXiv preprint arXiv:2401.01303, 2024 | 1 | 2024 |
| Detection of Cataract from Fundus Images Using Deep Transfer Learning S Sahayam, J Silambarasan, U Jayaraman International Conference on Computer Vision and Image Processing, 175-186, 2021 | 1 | 2021 |
| Multi-class Glioma Classification from MRI Images Using 3D Convolutional Neural Networks S Sahayam, U Jayaraman, B Teja 5th International Conference on Computer Vision and Image Processing 1376 …, 2021 | 1 | 2021 |
| Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images S Sahayam, JMS Zakkam, YS Varshan V, U Jayaraman arXiv preprint arXiv:2408.12013, 2024 | | 2024 |
| Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images YS Varshan V, HG Kattamuri, S Sahayam, U Jayaraman arXiv preprint arXiv:2408.05052, 2024 | | 2024 |
| An Algorithm to Calculate Retinal Vessel Diameter in Fundus Images Y Sri Varshan V, S Sahayam, DU Jayaraman Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics …, 2023 | | 2023 |
| A Study on an Ensemble Model for Automatic Classification of Melanoma from Dermoscopy Images AK Adepu, S Sahayam, R Arramraju, U Jayaraman International Conference on Computer Vision and Image Processing, 637-651, 2022 | | 2022 |
| Ensemble Models for Multi-class Classification of Diabetic Retinopathy S Sahayam, TL Manasa, U Jayaraman International Conference on Pattern Recognition and Machine Intelligence …, 2021 | | 2021 |
Umarani JayaramanIndian Institute of Technology KanpurПідтверджена електронна адреса в cse.iitk.ac.in