Sheeba Jenifer Sujit

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Ivan CoronadoUniversity of Texas Health Science CenterZweryfikowany adres z uth.tmc.edu
Refaat E. GabrFlorida Atlantic UniversityZweryfikowany adres z health.fau.edu
Jerry S Wolinsky, MDEmeritus Professor in Neurology, McGovern Medical School, UTHealth, The University of Texas HealthZweryfikowany adres z uth.tmc.edu
Fred LublinIcahn School of Medicine at Mount SinaiZweryfikowany adres z mssm.edu
Amudha KadirveluProfessor, Monash University MalaysiaZweryfikowany adres z monash.edu
Dr. S. ParasuramanMonash UniversityZweryfikowany adres z monash.edu
Jia WuAssociate Professor, MD Anderson Cancer CenterZweryfikowany adres z mdanderson.org
Muhammad AminuThe University of Texas MD Anderson Cancer CenterZweryfikowany adres z mdanderson.org
Melvin D. RobinsonHouston Christian UniversityZweryfikowany adres z hc.edu
William J. AllenTexas Advanced Computing CenterZweryfikowany adres z tacc.utexas.edu
Arash Kamali, MDUniversity of Texas HoustonZweryfikowany adres z uth.tmc.edu
Morteza SalehjahromiResearch Scientist, MD Anderson Cancer CenterZweryfikowany adres z mdanderson.org
Maliazurina B. SaadThe University of Texas MD Anderson Cancer CenterZweryfikowany adres z mdanderson.org
Pingjun ChenMD Anderson Cancer CenterZweryfikowany adres z ieee.org
Roy Riascos, MD, MBA, FACRProfessor of Radiology and Chief of Neuroradiology, The University of Texas Health Sciences CenterZweryfikowany adres z uth.edu
Luca GiancardoMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonZweryfikowany adres z uth.tmc.edu
Farhaan Vahidy, PHD MBBS MPH FA...Associate Vice President & Chief Scientific Officer at TIRR Memorial HermannZweryfikowany adres z memorialhermann.org
Charles C Miller IIIThe University of Texas Health Science Center at HoustonZweryfikowany adres z uth.tmc.edu
Arvind BambhroliyaPhD Student (Epidemiology, UTHealth)Zweryfikowany adres z uth.tmc.edu
Sunil A. ShethAssistant Professor, Department of Neurology, UT Health McGovern School of MedicineZweryfikowany adres z post.harvard.edu

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Sheeba Jenifer Sujit

Data Scientist, MD Anderson Cancer Center

Zweryfikowany adres z mdanderson.org - Strona główna

Cancer Medical Imaging AI Machine Learning Big Data


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Contrast enhancement and brightness preserving of digital mammograms using fuzzy clipped contrast-limited adaptive histogram equalization algorithm S Jenifer, S Parasuraman, A Kadirvelu Applied Soft Computing 42, 167-177, 2016	136	2016
Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI PA Narayana, I Coronado, SJ Sujit, JS Wolinsky, FD Lublin, RE Gabr Radiology 294 (2), 398-404, 2020	103	2020
Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study RE Gabr, I Coronado, M Robinson, SJ Sujit, S Datta, X Sun, WJ Allen, ... Multiple Sclerosis Journal 26 (10), 1217-1226, 2020	92	2020
Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks SJ Sujit, I Coronado, A Kamali, PA Narayana, RE Gabr Journal of Magnetic Resonance Imaging 50 (4), 1260-1267, 2019	77	2019
Deep‐learning‐based neural tissue segmentation of MRI in multiple sclerosis: effect of training set size PA Narayana, I Coronado, SJ Sujit, JS Wolinsky, FD Lublin, RE Gabr Journal of Magnetic Resonance Imaging 51 (5), 1487-1496, 2020	54	2020
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study MB Saad, L Hong, M Aminu, NI Vokes, P Chen, M Salehjahromi, K Qin, ... The Lancet Digital Health 5 (7), e404-e420, 2023	48	2023
Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non-small-cell lung cancer HT Tran, S Heeke, S Sujit, N Vokes, J Zhang, M Aminu, VK Lam, ... Annals of Oncology 35 (2), 183-189, 2024	31	2024
Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning PA Narayana, I Coronado, SJ Sujit, X Sun, JS Wolinsky, RE Gabr Magnetic resonance imaging 65, 8-14, 2020	30	2020
Automated image quality evaluation of structural brain magnetic resonance images using deep convolutional neural networks SJ Sujit, RE Gabr, I Coronado, M Robinson, S Datta, PA Narayana 2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 33-36, 2018	18	2018
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights SJ Sujit, M Aminu, TV Karpinets, P Chen, MB Saad, M Salehjahromi, ... Nature communications 15 (1), 3152, 2024	14	2024
Multimodal MRI segmentation of brain tissue and T2-hyperintense white matter lesions in multiple sclerosis using deep convolutional neural networks and a large multi-center … PA Narayana, I Coronado, M Robinson, SJ Sujit, S Datta, X Sun, ... 2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 13-16, 2018	12	2018
An efficient biomedical imaging technique for automatic detection of abnormalities in digital mammograms S Jenifer, S Parasuraman, A Kadirvel Journal of Medical Imaging and Health Informatics 4 (2), 291-296, 2014	12	2014
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept M Salehjahromi, TV Karpinets, SJ Sujit, M Qayati, P Chen, M Aminu, ... Cell Reports Medicine 5 (3), 2024	8	2024
Habitat imaging biomarkers for diagnosis and prognosis in cancer patients infected with COVID-19 M Aminu, D Yadav, L Hong, E Young, P Edelkamp Jr, M Saad, ... Cancers 15 (1), 275, 2022	7	2022
Deep learning enabled brain shunt valve identification using mobile phones SJ Sujit, E Bonfante, A Aein, I Coronado, R Riascos-Castaneda, ... Computer methods and programs in biomedicine 210, 106356, 2021	7	2021
Automated cellular-level dual global fusion of whole-slide imaging for lung adenocarcinoma prognosis S Diao, P Chen, E Showkatian, R Bandyopadhyay, FR Rojas, B Zhu, ... Cancers 15 (19), 4824, 2023	3	2023
Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms S Jenifer, S Parasuraman, A Kadirvelu 2014 IEEE International Conference on Computational Intelligence and …, 2014	3	2014
Fuzzy clustering in digital mammograms using Gray Level co-occurrence matrices SJ Sujit, S Parasuraman, A Kadirvelu 2012 International Conference on Emerging Trends in Electrical Engineering …, 2012	2	2012
I-SABR-SELECT: a radiomics-based model for personalized immunotherapy for early-stage non-small Cell Lung Cancer MB Saad, E Showkatian, Q Al-Tashi, M Aminu, X Xu, MQ Mohamed, ... International Journal of Radiation Oncology, Biology, Physics 120 (2), S42-S43, 2024	1	2024
1244 Deep learning prediction of immune checkpoint inhibitor induced pneumonitis from baseline CT scans in lung cancer A Muneer, E Showkatian, Y Kitsel, SJ Sujit, MB Saad, M Aminu, ... Journal for ImmunoTherapy of Cancer 12 (Suppl 2), 2024		2024

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