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Deepti R. Bathula
Deepti R. Bathula
Verified email at iitrpr.ac.in
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Year
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
6122020
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
5622012
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
5512012
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
4312010
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
2142011
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
1932013
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
1922010
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
1382012
Multi-level dense capsule networks
SSR Phaye, A Sikka, A Dhall, DR Bathula
Asian Conference on Computer Vision, 577-592, 2018
133*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
832021
EEG-ConvTransformer for single-trial EEG-based visual stimulus classification
S Bagchi, DR Bathula
Pattern Recognition 129, 108757, 2022
632022
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
45*2023
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
382020
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
372018
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
312021
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
182022
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
152020
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
102015
Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition
S Bagchi, DR Bathula
2021 29th European Signal Processing Conference (EUSIPCO), 1276-1280, 2021
82021
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
72022
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