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Deepti R. Bathula

Observed names: Bathula, Deepti, Bathula, Deepti R., D.R. Bathula, Deepti Bathula, Deepti R Bathula
ORCID: 0000-0002-1383-3744
Observed ORCID: 0000-0002-1383-3744
OpenAlex ID: A5023626578
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
2019 · José Ignacio Orlando, Huazhu Fu, et al. · Medical Image Analysis · 877
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Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD
2012 · Damien A. Fair, Deepti Bathula, et al. · Proceedings of the National Academy of Sciences · 467
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Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
2013 · Damien A. Fair, Joel T. Nigg, et al. · Frontiers in Systems Neuroscience · 463
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Atypical Default Network Connectivity in Youth with Attention-Deficit/Hyperactivity Disorder
2010 · Damien A. Fair, Jonathan Posner, et al. · Biological Psychiatry · 354
Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder
2012 · Taciana G. Costa Dias, Vanessa B. Wilson, et al. · European Neuropsychopharmacology · 180
Altered White Matter Microstructure in Children With Attention-Deficit/Hyperactivity Disorder
2011 · Bonnie J. Nagel, Deepti Bathula, et al. · Journal of the American Academy of Child & Adolescent Psychiatry · 178
Predicting women with depressive symptoms postpartum with machine learning methods
2021 · Sam Andersson, Deepti R. Bathula, et al. · Scientific Reports · 137
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Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
2023 · Selene Gallo, Ahmed El-Gazzar, et al. · Molecular Psychiatry · 128
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Altered Cortico-Striatal–Thalamic Connectivity in Relation to Spatial Working Memory Capacity in Children with ADHD
2012 · Kathryn L. Mills, Deepti Bathula, et al. · Frontiers in Psychiatry · 108
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EEG-ConvTransformer for single-trial EEG-based visual stimulus classification
2022 · Subhranil Bagchi, Deepti R. Bathula · Pattern Recognition · 105
Dense and Diverse Capsule Networks: Making the Capsules Learn Better
2018 · Phaye, Sai Samarth R, Sikka, Apoorva, et al. · arXiv (Cornell University) · 84
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Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks
2020 · Apoorva Sikka, Hamidreza Jamalabadi, et al. · Human Brain Mapping · 55
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Multi-level Dense Capsule Networks
2019 · Sai Samarth R. Phaye, Apoorva Sikka, et al. · Lecture notes in computer science · 42
Understanding calibration of deep neural networks for medical image classification
2023 · Abhishek Singh Sambyal, Usma Niyaz, et al. · Computer Methods and Programs in Biomedicine · 41
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MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer’s Classification
2018 · Apoorva Sikka, Skand Vishwanath Peri, et al. · Lecture notes in computer science · 39
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Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection
2020 · Subhranil Bagchi, Anurag Banerjee, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 15
MRI-to-PET cross-modality translation using globally & locally aware GAN (GLA-GAN) for multi-modal diagnosis of Alzheimer’s disease
2025 · Apoorva Sikka, Skand Peri, et al. · The Journal of Precision Medicine Health and Disease · 14
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks
2022 · Abhishek Singh Sambyal, Narayanan C Krishnan, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 12
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Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression
2022 · Usma Niyaz, Deepti R. Bathula · IEEE International Symposium on Biomedical Imaging (ISBI) · 11
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Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition
2021 · Subhranil Bagchi, Deepti R. Bathula · European Signal Processing Conference (EUSIPCO) · 11
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study
2022 · Ranjana Roy Chowdhury, Deepti R. Bathula · IEEE International Symposium on Biomedical Imaging (ISBI) · 9
Template based classification of cardiac Arrhythmia in ECG data
2015 · Gourav Bansal, Pulkit Gera, et al. · IEEE International Conference on Recent Trends in Information Systems · 7
Leveraging different learning styles for improved knowledge distillation in biomedical imaging
2023 · Usma Niyaz, Abhishek Singh Sambyal, et al. · Computers in Biology and Medicine · 6
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Machine Learning in Clinical Neuroimaging
2022 · Ahmed Abdulkadir, Deepti R. Bathula, et al. · Lecture notes in computer science · 6
Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging
2020 · Jitender Singh Virk, Deepti R. Bathula · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 5
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Works count: 53
Citation count: 3,383
H-index: 15
I10-index: 20
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