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ORCIDDeepti R. Bathula
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2020 – today
- 2024
[j4]Usma Niyaz
, Abhishek Singh Sambyal, Deepti R. Bathula:
Leveraging different learning styles for improved knowledge distillation in biomedical imaging. Comput. Biol. Medicine 168: 107764 (2024)- [c17]Arunava Chaudhuri, Abhishek Singh Sambyal, Deepti R. Bathula:
Mutually Exclusive Multi-Modal Approach for Parkinson's Disease Classification. BIOSTEC (1) 2024: 236-243 - [c16]Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula:
Wavelet-Based Feature Compression for Improved Knowledge Distillation. ISBI 2024: 1-4 - [c15]Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula:
LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. MICCAI (10) 2024: 513-523 - 2023
- [j3]Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula:
Understanding calibration of deep neural networks for medical image classification. Comput. Methods Programs Biomed. 242: 107816 (2023) - [e2]Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao:
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14312, Springer 2023, ISBN 978-3-031-44857-7 [contents] - [i11]Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula:
Understanding Calibration of Deep Neural Networks for Medical Image Classification. CoRR abs/2309.13132 (2023) - 2022
- [j2]Subhranil Bagchi, Deepti R. Bathula:
EEG-ConvTransformer for single-trial EEG-based visual stimulus classification. Pattern Recognit. 129: 108757 (2022) - [c14]Ranjana Roy Chowdhury, Deepti R. Bathula:
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. ISBI 2022: 1-4 - [c13]Usma Niyaz, Deepti R. Bathula:
Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression. ISBI 2022: 1-4 - [c12]Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula:
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. ISBI 2022: 1-4 - [c11]Jitender Singh Virk, Dwarikanath Mahapatra, Deepti R. Bathula:
Medical VQA: MixUp Helps Keeping it Simple. IVCNZ 2022: 402-414 - [e1]Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers:
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13596, Springer 2022, ISBN 978-3-031-17898-6 [contents] - [i10]Usma Niyaz, Deepti R. Bathula:
Leveraging Different Learning Styles for Improved Knowledge Distillation. CoRR abs/2212.02931 (2022) - 2021
- [c10]Jitender Singh Virk, Deepti R. Bathula:
Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging. COMAD/CODS 2021: 145-153 - [c9]Anoop Jacob Thomas, Deepti R. Bathula:
3D Multi-voxel Pattern Based Machine Learning for Multi-center fMRI Data Normalization. CVIP (2) 2021: 516-528 - [c8]Subhranil Bagchi, Deepti R. Bathula:
Adequately Wide 1D CNN facilitates improved EEG based Visual Object Recognition. EUSIPCO 2021: 1276-1280 - [i9]Subhranil Bagchi, Deepti R. Bathula:
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification. CoRR abs/2107.03983 (2021) - [i8]Apoorva Sikka, Skand, Jitender Singh Virk, Deepti R. Bathula:
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease. CoRR abs/2108.02160 (2021) - [i7]Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula:
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks. CoRR abs/2110.11012 (2021) - [i6]Usma Niyaz, Deepti R. Bathula:
Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression. CoRR abs/2110.11023 (2021) - [i5]Ranjana Roy Chowdhury, Deepti R. Bathula:
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study. CoRR abs/2111.00698 (2021) - 2020
- [j1]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:
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [c7]Subhranil Bagchi, Anurag Banerjee, Deepti R. Bathula:
Learning A Meta-Ensemble Technique For Skin Lesion Classification And Novel Class Detection. CVPR Workshops 2020: 3221-3228 - [i4]Jitender Singh Virk, Deepti R. Bathula:
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging. CoRR abs/2005.11746 (2020)
2010 – 2019
- 2019
- [i3]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:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - 2018
- [c6]Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula:
Multi-level Dense Capsule Networks. ACCV (5) 2018: 577-592 - [c5]Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula:
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's Classification. SASHIMI@MICCAI 2018: 80-89 - [i2]Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti R. Bathula:
Dense and Diverse Capsule Networks: Making the Capsules Learn Better. CoRR abs/1805.04001 (2018) - [i1]Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula:
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification. CoRR abs/1807.10111 (2018) - 2016
- [c4]Apoorva Sikka, Gaurav Mittal, Deepti R. Bathula, Narayanan C. Krishnan:
Supervised deep segmentation network for brain extraction. ICVGIP 2016: 9:1-9:8 - 2015
- [c3]Gourav Bansal, Pulkit Gera, Deepti R. Bathula:
Template based classification of cardiac Arrhythmia in ECG data. ReTIS 2015: 337-341
2000 – 2009
- 2008
- [c2]Deepti R. Bathula, Hemant D. Tagare, Lawrence H. Staib, Xenophon Papademetris, Robert T. Schultz, James S. Duncan:
Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. MICCAI (2) 2008: 246-254 - 2007
- [c1]Deepti R. Bathula, Xenophon Papademetris, James S. Duncan:
Level Set Based Clustering for Analysis of Functional Mri Data. ISBI 2007: 416-419
Coauthor Index
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