| 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, R Fang, ... Medical image analysis 59, 101570, 2020 | 570 | 2020 |
| Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data DA Fair, JT Nigg, S Iyer, D Bathula, KL Mills, NUF Dosenbach, ... Frontiers in systems neuroscience 6, 2012 | 560 | 2012 |
| Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD DA Fair, D Bathula, MA Nikolas, JT Nigg Proceedings of the National Academy of Sciences 109 (17), 6769-6774, 2012 | 534 | 2012 |
| Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder DA Fair, J Posner, BJ Nagel, D Bathula, TGC Dias, KL Mills, MS Blythe, ... Biological psychiatry 68 (12), 1084-1091, 2010 | 423 | 2010 |
| Altered white matter microstructure in children with attention-deficit/hyperactivity disorder BJ Nagel, D Bathula, M Herting, C Schmitt, CD Kroenke, D Fair, JT Nigg Journal of the American Academy of Child & Adolescent Psychiatry 50 (3), 283-292, 2011 | 211 | 2011 |
| Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder TGC Dias, VB Wilson, DR Bathula, SP Iyer, KL Mills, BL Thurlow, ... European Neuropsychopharmacology 23 (1), 33-45, 2013 | 189 | 2013 |
| Maturing thalamocortical functional connectivity across development DA Fair, D Bathula, KL Mills, TGC Dias, MS Blythe, D Zhang, AZ Snyder, ... Frontiers in systems neuroscience 4, 2010 | 189 | 2010 |
| Altered cortico-striatal–thalamic connectivity in relation to spatial working memory capacity in children with ADHD KL Mills, D Bathula, TGC Dias, SP Iyer, MC Fenesy, ED Musser, ... Frontiers in Psychiatry 3, 2012 | 136 | 2012 |
| Multi-level dense capsule networks SSR Phaye, A Sikka, A Dhall, DR Bathula Asian Conference on Computer Vision, 577-592, 2018 | 125* | 2018 |
| Predicting women with depressive symptoms postpartum with machine learning methods S Andersson, DR Bathula, SI Iliadis, M Walter, A Skalkidou Scientific reports 11 (1), 7877, 2021 | 75 | 2021 |
| EEG-ConvTransformer for single-trial EEG-based visual stimulus classification S Bagchi, DR Bathula Pattern Recognition 129, 108757, 2022 | 55 | 2022 |
| 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 | 37 | 2020 |
| 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 |
| Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies S Gallo, A El-Gazzar, P Zhutovsky, RM Thomas, N Javaheripour, M Li, ... Molecular Psychiatry 28 (7), 3013-3022, 2023 | 34* | 2023 |
| 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 | 27 | 2021 |
| Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks AS Sambyal, NC Krishnan, DR Bathula 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 16 | 2022 |
| Learning a meta-ensemble technique for skin lesion classification and novel class detection S Bagchi, A Banerjee, DR Bathula Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Template based classification of cardiac Arrhythmia in ECG data G Bansal, P Gera, DR Bathula 2015 IEEE 2nd International Conference on Recent Trends in Information …, 2015 | 10 | 2015 |
| Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression U Niyaz, DR Bathula 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 6 | 2022 |
| Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study RR Chowdhury, DR Bathula 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022 | 6 | 2022 |
