Ashirbani Saha - McMaster Experts

Affiliations

Faculty of Health Sciences, McMaster University
Full-Time Member, Escarpment Cancer Research Institute (ECRI), Faculty of Health Sciences
Assistant Professor, Oncology, Faculty of Health Sciences
Associate Member, Biomedical Engineering, Faculty of Engineering
Associate Member, Computing and Software, Faculty of Engineering
BRIGHT Run Breast Cancer Learning Health System Chair, McMaster University,
Associate Scientist, Centre for Data Science and Digital Health (CREATE), Hamilton Health Sciences
Associate Member, School of Biomedical Engineering, McMaster University

Research Areas

Biomedical (RA)
Computer and information sciences (RA)
Data Analytics & Computational Materials (RA)
Machine learning (RA)
Radiology, nuclear medicine and medical imaging (RA)

Scholarly Activity in McMaster Experts

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conferences
- Predicting Resilience and Burnout in Neurosurgery Trainees and Neurosurgeons Globally: Need for a Culture Shift. Journal of Neurosurgery. 2022
- DUOC-01, a cord blood derived cell therapy product, ameliorates experimental autoimmune encephalomyelitis, a murine model for multiple sclerosis. Cytotherapy. S31-S32. 2020
- Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 1131428-1131428. 2020
- Homogenous Aggressive and Indolent Subgroups of Atypical Meningiomas Identified using Oncogenic Signatures. Journal of Neurosurgery. 2019
- Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 1057507-1057507. 2018
- Breast cancer molecular subtype classification using deep features: preliminary results. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 105752X-105752X. 2018
- Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 1057525-1057525. 2018
- Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 105750U-105750U. 2018
- Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 105752V-105752V. 2018
- Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 105752W-105752W. 2018
- UMBILICAL CORD TISSUE DERIVED MESENCHYMAL STROMAL CELLS INHIBIT LYSOPHOSPHATIDYLCHOLINE MEDIATED ACTIVATION OF MICROGLIA IN ORGANOTYPIC CEREBELLAR CULTURES. Cytotherapy. S115-S115. 2017
- Deep learning for segmentation of brain tumors: can we train with images from different institutions?. Proceedings of SPIE - The International Society for Optical Engineering. 101341P-101341P. 2017
- Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. Proceedings of SPIE - The International Society for Optical Engineering. 101341T-101341T. 2017
- High frequency content based framework for perceptual sharpness assessment in natural images. 2015 International Conference on Computers, Communications, and Systems (ICCCS). 182-187. 2015
- Dual Gaussian mixture model with pixel history for background suppression. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 476-482. 2014
- High Frequency Content based Stimulus for Perceptual Sharpness Assessment in Natural Images. http://arxiv.org/abs/1412.5490. 182-187. 2014
- Multimodal 3D histogram for moving object detection. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2397-2402. 2014
- A study on using spectral saliency detection approaches for image quality assessment. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 1889-1893. 2013
- Multiresolution based sigma-delta for motion segmentation. 2012 15th International IEEE Conference on Intelligent Transportation Systems. 313-318. 2012
- SVD filter based multiscale approach for image quality assessment. ... IEEE International Conference on Multimedia and Expo workshops. IEEE International Conference on Multimedia and Expo. 43-48. 2012
- Curvelet entropy for facial expression recognition. Lecture Notes in Computer Science. 617-628. 2010
- Facial expression recognition using curvelet based local binary patterns. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2470-2473. 2010
- A Cost Effective Probabilistic Approach To Localization And Mapping. IEEE International Conference on Electro Information Technology. 357-+. 2009
- A cost effective probabilistic approach to localization and mapping. 2009 IEEE International Conference on Electro/Information Technology. 359-366. 2009
journal articles
- Editorial for “Intra‐ and Peri‐tumoral Radiomics Based on Dynamic Contrast Enhanced‐MRI to Identify Lymph Node Metastasis and Prognosis in Intrahepatic Cholangiocarcinoma”. Journal of Magnetic Resonance Imaging. 60:2681-2682. 2024
- Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review. Journal of Pathology Informatics. 15:100348-100348. 2024
- Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities. Journal of Pathology Informatics. 15:100347-100347. 2024
- Liver Observation Segmentation on Contrast-Enhanced MRI: SAM and MedSAM Performance in Patients With Probable or Definite Hepatocellular Carcinoma. Canadian Association of Radiologists Journal. 75:771-779. 2024
- Breast cancer learning health system: Patient information from a data and analytics platform characterizes care provided. Learning Health Systems. 8:e10409. 2024
- Protocol for the development of the Chatbot Assessment Reporting Tool (CHART) for clinical advice. BMJ Open. 14:e081155-e081155. 2024
- Measurement of adverse cosmesis in breast cancer: A deep learning approach. Expert Systems With Applications. 238:122209-122209. 2024
- Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review. Cancer Epidemiology. 88:102511-102511. 2024
- Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center. JCO clinical cancer informatics. 7:e2200182. 2023
- A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. JAMA network open. 6:e230524-e230524. 2023
- A scoping review of natural language processing of radiology reports in breast cancer. Frontiers in Oncology. 13:1160167. 2023
- Generative AI for brain image computing and brain network computing: a review. Frontiers in Neuroscience. 17:1203104. 2023
- Predicting Severity of Head Collision Events in Elite Soccer Using Preinjury Data: A Machine Learning Approach. Clinical Journal of Sport Medicine. 2022
- Resident evaluations in the age of competency-based medical education: faculty perspectives on minimizing burdens. Journal of Neurosurgery. 135:949-954. 2021
- A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images. JAMA network open. 4:e2119100-e2119100. 2021
- Cognitive Dysfunction, Brain Volumes, and Traumatic Brain Injury in Homeless Persons. Neurotrauma Reports. 2:136-148. 2021
- Development and validation of a patient-centered, meningioma-specific quality-of-life questionnaire. Journal of Neurosurgery. 1:1-10. 2021
- Setting standards of performance expected in neurosurgery residency: A study on entrustable professional activities in competency-based medical education. American Journal of Surgery. 221:388-393. 2021
- The Traumatic Brain Injury Model Systems National Database: A Review of Published Research. Neurotrauma Reports. 2:149-164. 2021
- Traumatic Brain Injury, Abuse, and Poor Sustained Attention in Youth and Young Adults Who Previously Experienced Foster Care. Neurotrauma Reports. 2:94-102. 2021
- Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images. Radiology: Artificial Intelligence. 2:e180050-e180050. 2020
- Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model. arXiv preprint arXiv:2011.07995. 2020
- Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study. CMAJ open. 8:E90-E90. 2020
- Gene expression signatures identify biologically homogenous subgroups of Grade 2 meningiomas. Frontiers in Oncology. 10:541928. 2020
- Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. Pituitary. 23:273-293. 2020
- Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review. arXiv preprint arXiv:2012.10517. 2020
- Performance of preoperative breast MRI based on breast cancer molecular subtype. Clinical Imaging. 67:130-135. 2020
- Professional assessment of potential concussions in elite football tournaments. Injury Prevention. 26:536-539. 2020
- Resident evaluations in the age of competency-based medical education: faculty perspectives on minimizing burdens. Journal of Neurosurgery. 1:1-6. 2020
- Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer. Journal of Magnetic Resonance Imaging. 49:e231-e240. 2019
- Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. Computers in Biology and Medicine. 109:218-225. 2019
- Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Computers in Biology and Medicine. 115:103498-103498. 2019
- Deep learning for identifying radiogenomic associations in breast cancer. Computers in Biology and Medicine. 109:85-90. 2019
- Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI. Journal of Magnetic Resonance Imaging. 49:939-954. 2019
- Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI. Journal of Magnetic Resonance Imaging. 50:456-464. 2019
- 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. Breast Cancer Research and Treatment. 173:455-463. 2019
- Relationship between background parenchymal enhancement on high-risk screening MRI and future breast cancer risk. Academic Radiology. 26:69-75. 2019
- A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features. British Journal of Cancer. 119:508-516. 2018
- A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models. Journal of Cancer Research and Clinical Oncology. 144:799-807. 2018
- Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. arXiv preprint arXiv:1807.02152. 2018
- Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors. Medical Physics. 45:3076-3085. 2018
- Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing. Medical Physics. 45:1150-1158. 2018
- Hierarchical convolutional neural networks for segmentation of breast tumors in MRI with application to radiogenomics. IEEE Transactions on Medical Imaging. 38:435-447. 2018
- Homogenous subgroups of atypical meningiomas defined using oncogenic signatures: basis for a new grading system?. bioRxiv. 493031-493031. 2018
- Intra-tumor molecular heterogeneity in breast cancer: definitions of measures and association with distant recurrence-free survival. Breast Cancer Research and Treatment. 172:123-132. 2018
- Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset. Breast Cancer Research and Treatment. 162:1-10. 2017
- Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?. Journal of Magnetic Resonance Imaging. 46:1332-1340. 2017
- Effects of MRI scanner parameters on breast cancer radiomics. Expert Systems With Applications. 87:384-391. 2017
- 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 Cancer Genome Atlas data. Journal of Neuro-Oncology. 133:27-35. 2017
- Full-reference image quality assessment by combining global and local distortion measures. Signal Processing. 128:186-197. 2016
- Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics. Medical Physics. 43:4558-4564. 2016
- Investigating Potential Combinations of Visual Features towards Improvement of Full-Reference and No-Reference Image Quality Assessment 2015
- Utilizing image scales towards totally training free blind image quality assessment. IEEE Transactions on Image Processing. 24:1879-1892. 2015
- Analysis and extension of multiresolution singular value decomposition. Information Sciences. 277:247-262. 2014
- Mutual spectral residual approach for multifocus image fusion. Digital Signal Processing: A Review Journal. 23:1121-1135. 2013
- Perceptual image quality assessment using phase deviation sensitive energy features. Signal Processing. 93:3182-3191. 2013
- Selective loss of RPGRIP1-dependent ciliary targeting of NPHP4, RPGR and SDCCAG8 underlies the degeneration of photoreceptor neurons. Cell Death and Disease. 3:e355-e355. 2012
- Facial Expression Recognition Using Multiresolution Analysis 2010
- Design of a new competency-based entrustment scale for the evaluation of resident performance. Global Surgical Education - Journal of the Association for Surgical Education. 2:70.
preprints