Level Set Based Clustering for Analysis of Functional Mri Data. - Deepti R. Bathula; Xenophon Papademetris; James S. Duncan (ISBI, 2007)

Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. - Deepti R. Bathula; Hemant D. Tagare; Lawrence H. Staib; Xenophon Papademetris; Robert T. Schultz; James S. Duncan (MICCAI (2), 2008)

Template based classification of cardiac Arrhythmia in ECG data. - Gourav Bansal; Pulkit Gera; Deepti R. Bathula (ReTIS, 2015)

Supervised deep segmentation network for brain extraction. - Apoorva Sikka; Gaurav Mittal; Deepti R. Bathula; Narayanan C. Krishnan (ICVGIP, 2016)

Multi-level Dense Capsule Networks. - Sai Samarth R. Phaye; Apoorva Sikka; Abhinav Dhall; Deepti R. Bathula (ACCV (5), 2018)

MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's Classification. - Apoorva Sikka; Skand Vishwanath Peri; Deepti R. Bathula (SASHIMI@MICCAI, 2018)

Dense and Diverse Capsule Networks: Making the Capsules Learn Better. - Sai Samarth R. Phaye; Apoorva Sikka; Abhinav Dhall; Deepti R. Bathula (CoRR, 2018)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection. - Subhranil Bagchi; Anurag Banerjee; Deepti R. Bathula (CVPR Workshops, 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging. - Jitender Singh Virk; Deepti R. Bathula (COMAD/CODS, 2021)

3D Multi-voxel Pattern Based Machine Learning for Multi-center fMRI Data Normalization. - Anoop Jacob Thomas; Deepti R. Bathula (CVIP (2), 2021)

Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition. - Subhranil Bagchi; Deepti R. Bathula (EUSIPCO, 2021)

EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification. - Subhranil Bagchi; Deepti R. Bathula (CoRR, 2021)

MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease. - Apoorva Sikka; Skand; Jitender Singh Virk; Deepti R. Bathula (CoRR, 2021)

Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. - Ranjana Roy Chowdhury; Deepti R. Bathula (ISBI, 2022)

Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression. - Usma Niyaz; Deepti R. Bathula (ISBI, 2022)

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. - Abhishek Singh Sambyal; Narayanan C. Krishnan; Deepti R. Bathula (ISBI, 2022)

Medical VQA: MixUp Helps Keeping it Simple. - Jitender Singh Virk; Dwarikanath Mahapatra; Deepti R. Bathula (IVCNZ, 2022)

Leveraging Different Learning Styles for Improved Knowledge Distillation. - Usma Niyaz; Deepti R. Bathula (CoRR, 2022)

EEG-ConvTransformer for single-trial EEG-based visual stimulus classification. - Subhranil Bagchi; Deepti R. Bathula (Pattern Recognit., 2022)

Understanding calibration of deep neural networks for medical image classification. - Abhishek Singh Sambyal; Usma Niyaz; Narayanan C. Krishnan; Deepti R. Bathula (Comput. Methods Programs Biomed., 2023)

Mutually Exclusive Multi-Modal Approach for Parkinson's Disease Classification. - Arunava Chaudhuri; Abhishek Singh Sambyal; Deepti R. Bathula (BIOSTEC (1), 2024)

Wavelet-Based Feature Compression for Improved Knowledge Distillation. - Usma Niyaz; Abhishek Singh Sambyal; Deepti R. Bathula (ISBI, 2024)

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. - Abhishek Singh Sambyal; Usma Niyaz; Saksham Shrivastava; Narayanan C. Krishnan; Deepti R. Bathula (MICCAI (10), 2024)

Leveraging different learning styles for improved knowledge distillation in biomedical imaging. - Usma Niyaz; Abhishek Singh Sambyal; Deepti R. Bathula (Comput. Biol. Medicine, 2024)