Personal information

Artificial Intelligence, Machine Learning, Medical Imaging, Computer Vision, Data Scientist, Magnetic Resonance Imaging, Computed Tomography, Radiology
United States

Activities

Employment (4)

Dana-Farber Cancer Institute: Boston, MA, US

2023-03-19 to present | Artificial Intelligence & Machine Learning Scientist II (Bioinformatics)
Employment
Source: Self-asserted source
Sahil Nalawade

Dana-Farber Cancer Institute: MA, MA, US

2021-08-30 to 2023-03-18 | Data Scientist I (Bioinformatics)
Employment
Source: Self-asserted source
Sahil Nalawade

University of Texas Southwestern Medical Center: TX, TX, US

2017-09-18 to 2021-08-29 | Research Associate (Radiology)
Employment
Source: Self-asserted source
Sahil Nalawade

GE Healthcare (India): Mumbai, Maharashtra, IN

2011-03-31 to 2015-08-10 | Service Engineer (Services)
Employment
Source: Self-asserted source
Sahil Nalawade

Education and qualifications (1)

UT Arlington: Arlington, TX, US

2015-08-18 to 2017-05-10 | Masters (Bioengineerning Department)
Education
Source: Self-asserted source
Sahil Nalawade

Works (35)

Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning

American Journal of Neuroradiology
2024-03 | Journal article
Contributors: Gowtham Murugesan; Fang F. Yu; Michael Achilleos; John DeBevits; Sahil Nalawade; Chandan Ganesh; Ben Wagner; Ananth J Madhuranthakam; Joseph A. Maldjian
Source: check_circle
Crossref
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Erratum: MRI-based deep-learning method for determining glioma MGMT promoter methylation status (JNR Am J Neuroradiol (2021) 42 (845–852) DOI: 10.3174/ajnr.A7029)

American Journal of Neuroradiology
2023 | Journal article
EID:

2-s2.0-85146493949

Part of ISSN: 1936959X 01956108
Contributors: Yogananda, C.G.; Shah, B.R.; Nalawade, S.S.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

Federated benchmarking of medical artificial intelligence with MedPerf

Nature Machine Intelligence
2023 | Journal article
EID:

2-s2.0-85165094418

Part of ISSN: 25225839
Contributors: Karargyris, A.; Umeton, R.; Sheller, M.J.; Aristizabal, A.; George, J.; Wuest, A.; Pati, S.; Kassem, H.; Zenk, M.; Baid, U. et al.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

Errata: Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction

Journal of Medical Imaging
2023-01-31 | Journal article
Part of ISSN: 2329-4302
Contributors: Sahil S. Nalawade; Fang F. Yu; Chandan Ganesh Bangalore Yogananda; Gowtham K. Murugesan; Bhavya R. Shah; Marco C. Pinho; Benjamin C. Wagner; Yin Xi; Bruce Mickey; Toral R. Patel et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Neuro-Oncology Advances
2023-01-01 | Journal article
Part of ISSN: 2632-2498
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R Shah; Frank F Yu; Marco C Pinho; Sahil S Nalawade; Gowtham K Murugesan; Benjamin C Wagner; Bruce Mickey; Toral R Patel; Baowei Fei et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Biomedical image analysis competitions: The state of current participation practice

2022 | Journal article
Contributors: Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek; Sharib Ali et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Disparity Autoencoders for Multi-class Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2022 | Book chapter
Part of ISBN: 9783031090011
Part of ISBN: 9783031090028
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Chandan Ganesh Bangalore Yogananda; Yudhajit Das; Benjamin C. Wagner; Sahil S. Nalawade; Divya Reddy; James Holcomb; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2022 | Book chapter
Part of ISBN: 9783031090011
Part of ISBN: 9783031090028
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Sahil Nalawade; Chandan Ganesh; Ben Wagner; Divya Reddy; Yudhajit Das; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
2022 | Book chapter
Part of ISBN: 9780323911719
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R. Shah; Fang F. Yu; Sahil S. Nalawade; James Holcomb; Divya Reddy; Benjamin C. Wagner; Marco C. Pinho; Bruce Mickey; Toral R. Patel et al.
Source: Self-asserted source
Sahil Nalawade

Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction

Journal of Medical Imaging
2022-01-27 | Journal article
Part of ISSN: 2329-4302
Contributors: Sahil S. Nalawade; Fang F. Yu; Chandan Ganesh Bangalore Yogananda; Gowtham K. Murugesan; Bhavya R. Shah; Marco C. Pinho; Benjamin C. Wagner; Yin Xi; Bruce Mickey; Toral R. Patel et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | Conference paper
EID:

2-s2.0-85107369263

Part of ISBN: 9783030720834
Part of ISSN: 16113349 03029743
Contributors: Murugesan, G.K.; Nalawade, S.; Ganesh, C.; Wagner, B.; Yu, F.F.; Fei, B.; Madhuranthakam, A.J.; Maldjian, J.A.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv
2021 | Journal article
Contributors: Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Datwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
2021 | Book chapter
EID:

2-s2.0-85130651431

Contributors: Yogananda, C.G.B.; Shah, B.R.; Yu, F.F.; Nalawade, S.S.; Holcomb, J.; Reddy, D.; Wagner, B.C.; Pinho, M.C.; Mickey, B.; Patel, T.R. et al.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

MRI-Based Deep-Learning Method for Determining Glioma <i>MGMT</i> Promoter Methylation Status

American Journal of Neuroradiology
2021-05 | Journal article | Author
Part of ISSN: 0195-6108
Part of ISSN: 1936-959X
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya Shah; Sahil Nalawade; Gowtham Krishnan Murugesan; Fang Yu; Marco Pinho; Benjamin Wagner; Bruce Mickey; Toral Patel; Baowei Fei et al.
Source: Self-asserted source
Sahil Nalawade
grade
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A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

Neuro-Oncology
2020 | Journal article
EID:

2-s2.0-85081941467

Part of ISSN: 15235866 15228517
Contributors: Bangalore Yogananda, C.G.; Shah, B.R.; Vejdani-Jahromi, M.; Nalawade, S.S.; Murugesan, G.K.; Yu, F.F.; Pinho, M.C.; Wagner, B.C.; Mickey, B.; Patel, T.R. et al.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

Fully automated brain tumor segmentation and survival prediction of gliomas using deep learning and MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Conference paper
EID:

2-s2.0-85085502476

Part of ISBN: 9783030466428
Part of ISSN: 16113349 03029743
Contributors: Bangalore Yogananda, C.G.; Wagner, B.; Nalawade, S.S.; Murugesan, G.K.; Pinho, M.C.; Fei, B.; Madhuranthakam, A.J.; Maldjian, J.A.
Source: Self-asserted source
Sahil Nalawade via Scopus - Elsevier

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
2020 | Book chapter
Part of ISBN: 9783030466428
Part of ISBN: 9783030466435
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Gowtham Krishnan Murugesan; Sahil Nalawade; Chandan Ganesh; Ben Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Neuro-Oncology Advances
2020-12-31 | Journal article
Part of ISSN: 2632-2498
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R Shah; Frank F Yu; Marco C Pinho; Sahil S Nalawade; Gowtham K Murugesan; Benjamin C Wagner; Bruce Mickey; Toral R Patel; Baowei Fei et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

A Radiomic Machine Learning Model to Predict Treatment Response to Methotrexate and Survival Outcomes in Primary Central Nervous System Lymphoma (PCNSL)

Blood
2020-11-05 | Journal article
Part of ISSN: 0006-4971
Part of ISSN: 1528-0020
Contributors: Omer M Ali; Sahil S Nalawade; Yin Xi; Ben Wagner; Alexander Mazal; Shane Ahlers; Syed M Rizvi; Farrukh T Awan; Kiran A Kumar; Neil B Desai et al.
Source: Self-asserted source
Sahil Nalawade

BrainNET: Inference of Brain Network Topology Using Machine Learning

Brain Connectivity
2020-10-01 | Journal article
Part of ISSN: 2158-0014
Part of ISSN: 2158-0022
Contributors: Gowtham Krishnan Murugesan; Chandan Ganesh; Sahil Nalawade; Elizabeth M. Davenport; Ben Wagner; Won Hwa Kim; Joseph A. Maldjian
Source: Self-asserted source
Sahil Nalawade
grade
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A Novel Fully Automated MRI-Based Deep Learning Method for Classification of 1P/19Q Co-Deletion Status in Brain Gliomas

2020-07-17 | Preprint
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R. Shah; Frank F. Yu; Marco C. Pinho; Sahil S. Nalawade; Gowtham K. Murugesan; Benjamin C. Wagner; Bruce Mickey; Toral R. Patel; Baowei Fei et al.
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Crossref
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Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

2020-06-02 | Preprint
Contributors: Sahil S. Nalawade; Fang F. Yu; Chandan Ganesh Bangalore Yogananda; Gowtham K. Murugesan; Bhavya R. Shah; Marco C. Pinho; Benjamin C. Wagner; Bruce Mickey; Toral R. Patel; Baowei Fei et al.
Source: check_circle
Crossref
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A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Tomography
2020-06-01 | Journal article
Part of ISSN: 2379-139X
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R. Shah; Maryam Vejdani-Jahromi; Sahil S. Nalawade; Gowtham K. Murugesan; Frank F. Yu; Marco C. Pinho; Benjamin C. Wagner; Kyrre E. Emblem; Atle Bjørnerud et al.
Source: Self-asserted source
Sahil Nalawade
grade
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MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O6-METHYLGUANINE–DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS

2020-05-31 | Preprint
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R. Shah; Sahil S. Nalawade; Gowtham K. Murugesan; Frank F. Yu; Marco C. Pinho; Benjamin C. Wagner; Bruce Mickey; Toral R. Patel; Baowei Fei et al.
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Crossref
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Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning

Journal of Medical Imaging
2019-12-10 | Journal article
Part of ISSN: 2329-4302
Contributors: Sahil Nalawade; Gowtham K. Murugesan; Maryam Vejdani-Jahromi; Ryan A. Fisicaro; Chandan G. Bangalore Yogananda; Ben Wagner; Bruce Mickey; Elizabeth Maher; Marco C. Pinho; Baowei Fei et al.
Source: Self-asserted source
Sahil Nalawade
grade
Preferred source (of 2)‎

BrainNET: Inference of brain network topology using Machine Learning

2019-09-20 | Other
Contributors: Gowtham Krishnan Murugesan; Chandan Ganesh; Sahil Nalawade; Elizabeth M Davenport; Ben Wagner; Kim Won Hwa; Joseph A. Maldjian
Source: check_circle
Crossref
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Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

2019-09-10 | Other
Contributors: Gowtham Krishnan Murugesan; Sahil Nalawade; Chandan Ganesh; Ben Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas using Deep Learning and MRI

2019-09-08 | Other
Contributors: Chandan Ganesh Bangalore Yogananda; Sahil S. Nalawade; Gowtham K. Murugesan; Ben Wagner; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian
Source: check_circle
Crossref
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A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

2019-09-06 | Preprint
Contributors: Chandan Ganesh Bangalore Yogananda; Bhavya R Shah; Maryam Vejdani-Jahromi; Sahil S Nalawade; Gowtham K Murugesan; Frank F Yu; Marco C Pinho; Benjamin C Wagner; Bruce Mickey; Toral R Patel et al.
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Crossref
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Classification of Brain Tumor IDH Status using MRI and Deep Learning

2019-09-04 | Other
Contributors: Sahil Nalawade; Gowtham Murugesan; Maryam Vejdani-Jahromi; Ryan A. Fisicaro; Chandan Ganesh Bangalore Yogananda; Ben Wagner; Bruce Mickey; Elizabeth Maher; Marco C. Pinho; Baowei Fei et al.
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Crossref
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MR IMAGE RECONSTRUCTION FROM UNDERSAMPLED k-SPACE USING DEEP LEARNING

Proc. Intl. Soc. Mag. Reson. Med
2019-05-16 | Journal article
Contributors: Sahil Nalawade
Source: Self-asserted source
Sahil Nalawade

Mechanistic Understanding of Transcranial Photobiomodulation Stimulated by Infrared Laser on the Human Forehead

Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS)
2018 | Journal article
Contributors: Xinlong Wang; Divya D. Reddy; Sahil Nalawade; Douglas Barrett; Francisco Gonzalez-Lima; Hanli Liu
Source: Self-asserted source
Sahil Nalawade

Up-regulation of cerebral cytochrome-c-oxidase and hemodynamics by transcranial infrared laser stimulation: A broadband near-infrared spectroscopy study

Journal of Cerebral Blood Flow &amp; Metabolism
2017-12 | Journal article
Part of ISSN: 0271-678X
Part of ISSN: 1559-7016
Contributors: Xinlong Wang; Fenghua Tian; Divya D Reddy; Sahil S Nalawade; Douglas W Barrett; Francisco Gonzalez-Lima; Hanli Liu
Source: Self-asserted source
Sahil Nalawade
grade
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Impact of heat on metabolic and hemodynamic changes in transcranial infrared laser stimulation measured by broadband near-infrared spectroscopy

Neurophotonics
2017-09-19 | Journal article
Part of ISSN: 2329-423X
Contributors: Xinlong Wang; Divya D. Reddy; Sahil S. Nalawade; Suvra Pal; F. Gonzalez-Lima; Hanli Liu
Source: Self-asserted source
Sahil Nalawade
grade
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Trans-cranial infrared laser stimulation induces hemodynamic and metabolic response measured by broadband near infrared spectroscopy in vivo on human forehead (Conference Presentation)

Optical Interactions with Tissue and Cells XXVIII
2017-04-19 | Journal article
Contributors: Xinlong Wang; Sahil Sunil Nalawade; Divya Dhandapani Reddy; Fenghua Tian; F. Gonzalez-Lima; Hanli Liu
Source: Self-asserted source
Sahil Nalawade

Peer review (45 reviews for 17 publications/grants)

Review activity for Bioengineering. (10)
Review activity for Biomedical signal processing and control. (1)
Review activity for Biomimetics. (1)
Review activity for Biomolecules. (1)
Review activity for Cancers. (8)
Review activity for Computation. (1)
Review activity for Computerized medical imaging and graphics. (4)
Review activity for Computers. (1)
Review activity for Diagnostics. (5)
Review activity for Electronics. (1)
Review activity for International journal of molecular sciences. (1)
Review activity for Journal of imaging. (2)
Review activity for Life. (1)
Review activity for Machine learning with applications. (1)
Review activity for Magnetic resonance imaging. (2)
Review activity for Neuroscience informatics. (4)
Review activity for Sensors. (1)