Ashirbani Saha
Ashirbani Saha
Assistant Professor, Department of Oncology, McMaster University
Verified email at - Homepage
Cited by
Cited by
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI
MA Mazurowski, M Buda, A Saha, MR Bashir
Journal of magnetic resonance imaging 49 (4), 939-954, 2019
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
M Buda, A Saha, MA Mazurowski
Computers in biology and medicine 109, 218-225, 2019
Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing
EA AlBadawy, A Saha, MA Mazurowski
Medical physics 45 (3), 1150-1158, 2018
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
A Saha, MR Harowicz, LJ Grimm, CE Kim, SV Ghate, R Walsh, ...
British journal of cancer 119 (4), 508-516, 2018
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set
EH Cain, A Saha, MR Harowicz, JR Marks, PK Marcom, MA Mazurowski
Breast cancer research and treatment 173, 455-463, 2019
Hierarchical convolutional neural networks for segmentation of breast tumors in MRI with application to radiogenomics
J Zhang, A Saha, Z Zhu, MA Mazurowski
IEEE transactions on medical imaging 38 (2), 435-447, 2018
Deep learning for identifying radiogenomic associations in breast cancer
Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski
Computers in biology and medicine 109, 85-90, 2019
Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The …
MA Mazurowski, K Clark, NM Czarnek, P Shamsesfandabadi, KB Peters, ...
Journal of neuro-oncology 133, 27-35, 2017
A data set and deep learning algorithm for the detection of masses and architectural distortions in digital breast tomosynthesis images
M Buda, A Saha, R Walsh, S Ghate, N Li, A Święcicki, JY Lo, ...
JAMA network open 4 (8), e2119100-e2119100, 2021
Effects of MRI scanner parameters on breast cancer radiomics
A Saha, X Yu, D Sahoo, MA Mazurowski
Expert systems with applications 87, 384-391, 2017
Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a …
MD McCradden, A Baba, A Saha, S Ahmad, K Boparai, P Fadaiefard, ...
Canadian Medical Association Open Access Journal 8 (1), E90-E95, 2020
Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter‐reader variability in annotating tumors
A Saha, MR Harowicz, MA Mazurowski
Medical physics 45 (7), 3076-3085, 2018
Utilizing image scales towards totally training free blind image quality assessment
A Saha, QMJ Wu
IEEE Transactions on Image Processing 24 (6), 1879-1892, 2015
Mutual spectral residual approach for multifocus image fusion
A Saha, G Bhatnagar, QMJ Wu
Digital Signal Processing 23 (4), 1121-1135, 2013
Full-reference image quality assessment by combining global and local distortion measures
A Saha, QMJ Wu, 2014
A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models
A Saha, MR Harowicz, W Wang, MA Mazurowski
Journal of cancer research and clinical oncology 144, 799-807, 2018
Relationship between background parenchymal enhancement on high-risk screening MRI and future breast cancer risk
LJ Grimm, A Saha, SV Ghate, C Kim, MS Soo, SC Yoon, MA Mazurowski
Academic radiology 26 (1), 69-75, 2019
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Z Zhu, M Harowicz, J Zhang, A Saha, LJ Grimm, ES Hwang, ...
Computers in biology and medicine 115, 103498, 2019
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset
MR Harowicz, TJ Robinson, MA Dinan, A Saha, JR Marks, PK Marcom, ...
Breast cancer research and treatment 162, 1-10, 2017
Facial expression recognition using curvelet based local binary patterns
A Saha, QMJ Wu
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
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