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Journal Articles
- 2021
[j7]Ganesh Singadkar, Abhishek Mahajan
, Meenakshi Thakur, Sanjay N. Talbar:
Automatic lung segmentation for the inclusion of juxtapleural nodules and pulmonary vessels using curvature based border correction. J. King Saud Univ. Comput. Inf. Sci. 33(8): 975-987 (2021)- 2020
- [j6]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Nilesh Sable, Mayuresh Akolkar, Abhishek Mahajan:
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers Comput. Neurosci. 14: 10 (2020) - [j5]Ujjwal Baid, Swapnil Rane, Sanjay N. Talbar, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Abhishek Mahajan:
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning. Frontiers Comput. Neurosci. 14: 61 (2020) - [j4]Ganesh Singadkar, Abhishek Mahajan, Meenakshi Thakur, Sanjay N. Talbar:
Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation. J. Digit. Imaging 33(3): 678-684 (2020) - 2019
- [j3]Praful Hambarde, Sanjay N. Talbar, Nilesh Sable, Abhishek Mahajan, Satishkumar S. Chavan, Meenakshi Thakur:
Radiomics for peripheral zone and intra-prostatic urethra segmentation in MR imaging. Biomed. Signal Process. Control. 51: 19-29 (2019) - 2018
- [j2]Suhas G. Sapate, Abhishek Mahajan, Sanjay N. Talbar, Nilesh Sable, Subhash Desai, Meenakshi Thakur:
Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. Comput. Methods Programs Biomed. 163: 1-20 (2018) - 2017
- [j1]Satishkumar S. Chavan, Abhishek Mahajan, Sanjay N. Talbar, Subhash Desai, Meenakshi Thakur, Anil D'cruz:
Nonsubsampled rotated complex wavelet transform (NSRCxWT) for medical image fusion related to clinical aspects in neurocysticercosis. Comput. Biol. Medicine 81: 64-78 (2017)
Conference and Workshop Papers
- 2018
- [c1]Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh Thakur, Abhishek Mahajan:
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas. BrainLes@MICCAI (2) 2018: 369-379
Coauthor Index
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