Deepti R. Bathula

According to our database, Deepti R. Bathula authored at least 32 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Prototypical aggregate network - boosting few-shot learning for medical image classification.

Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula

Multim. Tools Appl., February, 2026

SHAPER: SHape-Aware Parameter-Efficient Representation learning for medical image segmentation.

Usma Niyaz, Abhishek Singh Sambyal, Ranjana Roy Chowdhury, Deepti R. Bathula

Knowl. Based Syst., 2026

Personalized Stress Detection Through Reinforcement Learning Based Domain Adaptation.

Swati Kochhar, Nishchala Thakur, Katja Heilmann, Lejla Colic, Laith Hamid, Tara Chand, Martin Walter, Veronika Engert, Deepti R. Bathula

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Meta-Guided Sampling for Improved Few-Shot Learning in Skin Cancer Classification.

Ranjana Roy Chowdhury, Deepti R. Bathula

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Towards an RGB camera-based rehabilitation exercise assessment using an enhanced spatio-temporal transformer framework.

Amanpreet Chander, Deepti R. Bathula, Ashish Kumar Sahani

Multim. Tools Appl., December, 2025

WaveFuse-AL: Cyclical and Performance-Adaptive Multi-Strategy Active Learning for Medical Images.

Nishchala Thakur, Swati Kochhar, Deepti R. Bathula, Sukrit Gupta

CoRR, November, 2025

2024

Leveraging different learning styles for improved knowledge distillation in biomedical imaging.

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

Comput. Biol. Medicine, January, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Wavelet-Based Feature Compression for Improved Knowledge Distillation.

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Mutually Exclusive Multi-Modal Approach for Parkinson's Disease Classification.

Arunava Chaudhuri, Abhishek Singh Sambyal, Deepti R. Bathula

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

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., December, 2023

2022

EEG-ConvTransformer for single-trial EEG-based visual stimulus classification.

Subhranil Bagchi, Deepti R. Bathula

Pattern Recognit., 2022

Leveraging Different Learning Styles for Improved Knowledge Distillation.

Usma Niyaz, Deepti R. Bathula

CoRR, 2022

Medical VQA: MixUp Helps Keeping it Simple.

Jitender Singh Virk, Dwarikanath Mahapatra, Deepti R. Bathula

Proceedings of the Image and Vision Computing - 37th International Conference, 2022

Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks.

Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression.

Usma Niyaz, Deepti R. Bathula

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study.

Ranjana Roy Chowdhury, Deepti R. Bathula

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification.

Subhranil Bagchi, Deepti R. Bathula

CoRR, 2021

Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition.

Subhranil Bagchi, Deepti R. Bathula

Proceedings of the 29th European Signal Processing Conference, 2021

3D Multi-voxel Pattern Based Machine Learning for Multi-center fMRI Data Normalization.

Anoop Jacob Thomas, Deepti R. Bathula

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging.

Jitender Singh Virk, Deepti R. Bathula

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Hrvoje Bogunovic

Medical Image Anal., 2020

Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection.

Subhranil Bagchi, Anurag Banerjee, Deepti R. Bathula

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton van den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic

CoRR, 2019

2018

Dense and Diverse Capsule Networks: Making the Capsules Learn Better.

Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula

CoRR, 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

Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

Multi-level Dense Capsule Networks.

Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula

Proceedings of the Computer Vision - ACCV 2018, 2018

2016

Supervised deep segmentation network for brain extraction.

Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015

Template based classification of cardiac Arrhythmia in ECG data.

Gourav Bansal, Pulkit Gera, Deepti R. Bathula

Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015

2008

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

Level Set Based Clustering for Analysis of Functional Mri Data.

Deepti R. Bathula, Xenophon Papademetris, James S. Duncan

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007