| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 522 | 2020 |
| Dense and diverse capsule networks: Making the capsules learn better SSR Phaye, A Sikka, A Dhall, D Bathula arXiv preprint arXiv:1805.04001, 2018 | 105 | 2018 |
| MRI to FDG-PET: cross-modal synthesis using 3D U-Net for multi-modal Alzheimer’s classification A Sikka, SV Peri, DR Bathula Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 35 | 2018 |
| Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks A Sikka, H Jamalabadi, M Krylova, S Alizadeh, JN van der Meer, ... Human brain mapping 41 (9), 2334-2346, 2020 | 31 | 2020 |
| MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease A Sikka, JS Virk, DR Bathula arXiv preprint arXiv:2108.02160, 2021 | 24 | 2021 |
| Multi-level dense capsule networks SSR Phaye, A Sikka, A Dhall, DR Bathula Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 23 | 2019 |
| Dense and diverse capsule networks: Making the capsules learn better. arXiv 2018 SSR Phaye, A Sikka, A Dhall, D Bathula arXiv preprint arXiv:1805.04001, 0 | 14 | |
| Distributed adaptive routing for spidergon NoC R Bishnoi, P Kumar, V Laxmi, MS Gaur, A Sikka 18th International Symposium on VLSI Design and Test, 1-6, 2014 | 12 | 2014 |
| Jaemin Son JI Orlando, H Fu, JB Breda, K van Keer, DR Bathula, A Diaz-Pinto, R Fang, ... Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli …, 2020 | 8 | 2020 |
| Supervised deep segmentation network for brain extraction A Sikka, G Mittal, DR Bathula, NC Krishnan Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | 4 | 2016 |
| REFUGE Challenge Submission: Using Dense U-Nets to Detect Glaucoma and Segment Optic Disc and Cup A Sikka, SSR Phaye, DR Bathula Refuge reports (), 0 | 1 | |
| Supervised deep segmentation network for brain extraction NC Krishnan, DR Bathula, G Mittal, A Sikka | | 2021 |
| Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks S Alizadeh, P Vicheva, M Deliano, A Sikka, T Hahn, T Koenig, ... | | 2021 |
| Biomedical signal and image synthesis using deep learning A Sikka | | 2020 |
| MRI to FDG-PET: cross-modal synthesis using 3D u-net for multi-modal alzheimer’s classification DR Bathula, A Sikka, SV Peri | | 2018 |
| Deep networks can learn subject-invariant electroencephalography microstate sequences H Jamalabadi, A Sikka, S Alizadeh, M Krylova, J Van der Meer, D Bathula, ... 24th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2018), 2018 | | 2018 |
