Deepti R. Bathula

39 papers Misc 1Journal 19Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prototypical aggregate network - boosting few-shot learning for medical image classification. Multim. Tools Appl. Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula
2026	J	`jnl`	SHAPER: SHape-Aware Parameter-Efficient Representation learning for medical image segmentation. Knowl. Based Syst. Usma Niyaz, Abhishek Singh Sambyal, Ranjana Roy Chowdhury, Deepti R. Bathula
2025	—	`ed.`	Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings MLCN@MICCAI Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao
2025	J	`jnl`	Towards an RGB camera-based rehabilitation exercise assessment using an enhanced spatio-temporal transformer framework. Multim. Tools Appl. Amanpreet Chander, Deepti R. Bathula, Ashish Kumar Sahani
2025	J	`jnl`	WaveFuse-AL: Cyclical and Performance-Adaptive Multi-Strategy Active Learning for Medical Images. CoRR Nishchala Thakur, Swati Kochhar, Deepti R. Bathula, Sukrit Gupta
2024	—	`conf`	LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. MICCAI (10) Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula
2024	J	`jnl`	Leveraging different learning styles for improved knowledge distillation in biomedical imaging. Comput. Biol. Medicine Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula
2024	—	`conf`	Mutually Exclusive Multi-Modal Approach for Parkinson's Disease Classification. BIOSTEC (1) Arunava Chaudhuri, Abhishek Singh Sambyal, Deepti R. Bathula
2024	—	`conf`	Wavelet-Based Feature Compression for Improved Knowledge Distillation. ISBI Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula
2023	—	`ed.`	Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings MLCN@MICCAI Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao
2023	J	`jnl`	Understanding Calibration of Deep Neural Networks for Medical Image Classification. CoRR Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2023	J	`jnl`	Understanding calibration of deep neural networks for medical image classification. Comput. Methods Programs Biomed. Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2022	—	`conf`	Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression. ISBI Usma Niyaz, Deepti R. Bathula
2022	J	`jnl`	EEG-ConvTransformer for single-trial EEG-based visual stimulus classification. Pattern Recognit. Subhranil Bagchi, Deepti R. Bathula
2022	—	`conf`	Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. ISBI Ranjana Roy Chowdhury, Deepti R. Bathula
2022	J	`jnl`	Leveraging Different Learning Styles for Improved Knowledge Distillation. CoRR Usma Niyaz, Deepti R. Bathula
2022	—	`ed.`	Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MLCN@MICCAI Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers
2022	Misc	`conf`	Medical VQA: MixUp Helps Keeping it Simple. IVCNZ Jitender Singh Virk, Dwarikanath Mahapatra, Deepti R. Bathula
2022	—	`conf`	Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. ISBI Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
2021	—	`conf`	3D Multi-voxel Pattern Based Machine Learning for Multi-center fMRI Data Normalization. CVIP (2) Anoop Jacob Thomas, Deepti R. Bathula
2021	—	`conf`	Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition. EUSIPCO Subhranil Bagchi, Deepti R. Bathula
2021	J	`jnl`	Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression. CoRR Usma Niyaz, Deepti R. Bathula
2021	—	`conf`	Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging. COMAD/CODS Jitender Singh Virk, Deepti R. Bathula
2021	J	`jnl`	EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification. CoRR Subhranil Bagchi, Deepti R. Bathula
2021	J	`jnl`	Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. CoRR Ranjana Roy Chowdhury, Deepti R. Bathula
2021	J	`jnl`	MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease. CoRR Apoorva Sikka, Skand, Jitender Singh Virk, Deepti R. Bathula
2021	J	`jnl`	Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. CoRR Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
2020	J	`jnl`	Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging. CoRR Jitender Singh Virk, Deepti R. Bathula
2020	—	`conf`	Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection. CVPR Workshops Subhranil Bagchi, Anurag Banerjee, Deepti R. Bathula
2020	J	`jnl`	REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 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
2019	J	`jnl`	REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR 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
2018	J	`jnl`	Dense and Diverse Capsule Networks: Making the Capsules Learn Better. CoRR Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula
2018	J	`jnl`	MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification. CoRR Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula
2018	—	`conf`	MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's Classification. SASHIMI@MICCAI Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula
2018	—	`conf`	Multi-level Dense Capsule Networks. ACCV (5) Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula
2016	—	`conf`	Supervised deep segmentation network for brain extraction. ICVGIP Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan
2015	—	`conf`	Template based classification of cardiac Arrhythmia in ECG data. ReTIS Gourav Bansal, Pulkit Gera, Deepti R. Bathula
2008	—	`conf`	Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. MICCAI (2) Deepti R. Bathula, Hemant D. Tagare, Lawrence H. Staib, Xenophon Papademetris, Robert T. Schultz, James S. Duncan
2007	—	`conf`	Level Set Based Clustering for Analysis of Functional Mri Data. ISBI Deepti R. Bathula, Xenophon Papademetris, James S. Duncan