Tejas Sudharshan Mathai

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	Wszystkie	Od 2020
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16 artykułów

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Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterZweryfikowany adres z nih.gov
John M. GaleottiAssociate Professor of Robotics and Biomedical Engineering, Carnegie Mellon UniversityZweryfikowany adres z cmu.edu
Pritam MukherjeeNational Institutes of Health Clinical CenterZweryfikowany adres z nih.gov
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCZweryfikowany adres z nih.gov
Boah KimSungkyunkwan University (SKKU)Zweryfikowany adres z skku.edu
Benjamin HouImperial College LondonZweryfikowany adres z imperial.ac.uk
Qingqing ZhunihZweryfikowany adres z nih.gov
Dan EltonNational Human Genome Research Institute, NIHZweryfikowany adres z nih.gov
Kira LathropAssistant Professor of Ophthalmology, University of PittsburghZweryfikowany adres z upmc.edu
Yifan PengAssociate Professor at Weill Cornell MedicineZweryfikowany adres z med.cornell.edu
Jianfei LiuNational Institutes of HealthZweryfikowany adres z nih.gov
Yan ZhuangIcahn School of Medicine at Mount SinaiZweryfikowany adres z mssm.edu
VIJAY S. GORANTLA, MD, PhD, MMMProfessor | Wake Forest School of Medicine | Wake Forest Institute for Regenerative MedicineZweryfikowany adres z wakehealth.edu
Jiahong OuyangPh.D. Student from Electrical Engineering, Stanford UniversityZweryfikowany adres z stanford.edu
Kimberly HelmUniversity of PennsylvaniaZweryfikowany adres z seas.upenn.edu
Tarun MattikalliIcahn School of Medicine at Mount SinaiZweryfikowany adres z icahn.mssm.edu
Qiao Jin, MDNational Institutes of HealthZweryfikowany adres z nih.gov
Angshuman PaulIndian Institute of Technology JodhpurZweryfikowany adres z iitj.ac.in
Xiuying ChenMBZUAIZweryfikowany adres z mbzuai.ac.ae
Omid ShafaatUniversity of Alabama at BirminghamZweryfikowany adres z uabmc.edu

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Tejas Sudharshan Mathai

Staff Scientist, NIH

Zweryfikowany adres z nih.gov

Medical Imaging Image-Guided Surgery Deep Learning Computer Vision Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Ultrasound registration: A review C Che, TS Mathai, J Galeotti Methods 115, 128-143, 2017	59	2017
Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images J Ouyang, TS Mathai, K Lathrop, J Galeotti Biomedical Optics Express 10 (10), 5291-5324, 2019	34	2019
Lymph node detection in T2 MRI with transformers TS Mathai, S Lee, DC Elton, TC Shen, Y Peng, Z Lu, RM Summers Medical imaging 2022: computer-aided diagnosis 12033, 869-873, 2022	23	2022
Utilizing longitudinal chest x-rays and reports to pre-fill radiology reports Q Zhu, TS Mathai, P Mukherjee, Y Peng, RM Summers, Z Lu International Conference on Medical Image Computing and Computer-Assisted …, 2023	21	2023
Confounding factors need to be accounted for in assessing bias by machine learning algorithms P Mukherjee, TC Shen, J Liu, T Mathai, O Shafaat, RM Summers Nature Medicine 28 (6), 1159-1160, 2022	21	2022
Learning to Segment Corneal Tissue Interfaces in OCT Images TS Mathai, K Lathrop, J Galeotti arXiv, 2018	21	2018
Medical imaging 2022: computer-aided diagnosis T Mattikalli, TS Mathai, RM Summers, K Drukker, KM Iftekharuddin International Society for Optics and Photonics, SPIE, 2022	19	2022
Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences Using Contextual Memory TS Mathai, V Gorantla, J Galeotti International Conference on Medical Image Computing and Computer-Assisted …, 2019	13	2019
Fast vessel segmentation and tracking in ultra high-frequency ultrasound images TS Mathai, L Jin, V Gorantla, J Galeotti Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	12	2018
Universal lesion detection in CT scans using neural network ensembles T Mattikalli, TS Mathai, RM Summers Medical Imaging 2022: Computer-Aided Diagnosis 12033, 878-882, 2022	10	2022
Detection of lymph nodes in T2 MRI using neural network ensembles TS Mathai, S Lee, DC Elton, TC Shen, Y Peng, Z Lu, RM Summers Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021	9	2021
Semantic image synthesis for abdominal ct Y Zhuang, B Hou, TS Mathai, P Mukherjee, B Kim, RM Summers International Conference on Medical Image Computing and Computer-Assisted …, 2023	8	2023
Universal lymph node detection in T2 MRI using neural networks TS Mathai, S Lee, TC Shen, Z Lu, RM Summers International journal of computer assisted radiology and surgery 18 (2), 313-318, 2023	8	2023
Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study B Hou, TS Mathai, J Liu, C Parnell, RM Summers International journal of computer assisted radiology and surgery 19 (8 …, 2024	7	2024
Universal lesion detection and classification using limited data and weakly-supervised self-training V Naga, TS Mathai, A Paul, RM Summers Workshop on Medical Image Learning with Limited and Noisy Data, 55-64, 2022	7	2022
MRIsegmentator-abdomen: a fully automated multi-organ and structure segmentation tool for T1-weighted abdominal MRI Y Zhuang, TS Mathai, P Mukherjee, B Khoury, B Kim, B Hou, N Rabbee, ... arXiv preprint arXiv:2405.05944, 2024	6	2024
Medical image learning with limited and noisy data V Naga, TS Mathai, A Paul, RM Summers, G Zamzmi, S Antani, U Bagci, ... Springer Nature Switzerland, 2022	6	2022
Leveraging professional radiologists’ expertise to enhance llms’ evaluation for radiology reports Q Zhu, X Chen, Q Jin, B Hou, TS Mathai, P Mukherjee, X Gao, ... ArXiv, arXiv: 2401.16578 v3, 2024	5	2024
Automated classification of body MRI sequence type using convolutional neural networks K Helm, TS Mathai, B Kim, P Mukherjee, J Liu, RM Summers Medical Imaging 2024: Computer-Aided Diagnosis 12927, 120-124, 2024	4	2024
Universal detection and segmentation of lymph nodes in multi-parametric MRI TS Mathai, S Lee, TC Shen, D Elton, Z Lu, RM Summers International journal of computer assisted radiology and surgery 19 (1), 163-170, 2024	4	2024

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