Anindo Saha 个人学术档案 - 学术资源搜索

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Henkjan HuismanProfessor Medical Imaging AI, Radboud University Medical Centre Nijmegen and NTNU Norway在 radboudumc.nl 的电子邮件经过验证
Matin HosseinzadehPhD Candidate, Radboud University Medical Center在 radboudumc.nl 的电子邮件经过验证
Joeran BosmaPhD Candidate, Radboudumc在 radboudumc.nl 的电子邮件经过验证
Maarten de RooijMD/PhD Radiologist/Researcher, Department of Medical Imaging, Radboudumc在 radboudumc.nl 的电子邮件经过验证
Mattijs ElschotAssociate Professor / Researcher, NTNU, Norwegian University of Science and Technology在 ntnu.no 的电子邮件经过验证
Jurgen FüttererInterventional Radiologist, Radboudumc & Professor, University of Twente在 radboudumc.nl 的电子邮件经过验证
Jasper TwiltPhD candidate, Radboudumc在 radboudumc.nl 的电子邮件经过验证
Bram van GinnekenProfessor of Medical Image Analysis, Radboud University在 radboudumc.nl 的电子邮件经过验证
Mohammed R. S. SunoqrotDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU)在 ntnu.no 的电子邮件经过验证
Jasper LinmansPhD Student, RadboudUMC在 radboudumc.nl 的电子邮件经过验证
Bram de WildePhD candidate, Diagnostic Image Analysis Group, Radboud University Medical Center在 radboudumc.nl 的电子邮件经过验证
Joseph Y. LoProfessor of Radiology, Biomed. Engineering, Elec. Engineering, Med Physics在 duke.edu 的电子邮件经过验证
Fakrul Islam TusharPhD Student at ECE, Duke University在 duke.edu 的电子邮件经过验证
Rui Hou PhDDuke University在 duke.edu 的电子邮件经过验证
Khrystyna FarynaPhD researcher, https://khrystynafaryna.github.io/在 radboudumc.nl 的电子邮件经过验证
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.在 duke.edu 的电子邮件经过验证
Geoffrey D. RubinUniversity of Arizona在 arizona.edu 的电子邮件经过验证
Colin JacobsRadboudumc, Nijmegen, The Netherlands在 radboudumc.nl 的电子邮件经过验证
Zaigham SaghirCopenhagen University Hospital Gentofte在 regionh.dk 的电子邮件经过验证
Shankeeth VinayahalingamRadboudumc在 radboudumc.nl 的电子邮件经过验证

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Anindo Saha

其他姓名অনিন্দ্য সাহা

PhD Candidate, Diagnostic Image Analysis Group, Radboudumc

在 ieee.org 的电子邮件经过验证

Artificial Intelligence Medical Image Analysis Machine Learning Deep Neural Networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Common Limitations of Image Processing Metrics: A Picture Story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2022	160	2022
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction A Saha, M Hosseinzadeh, H Huisman Medical Image Analysis 73, 102155, 2021	109	2021
Deep Learning–Assisted Prostate Cancer Detection on Bi-parametric MRI: Minimum Training Data Size Requirements and Effect of Prior Knowledge M Hosseinzadeh, A Saha, P Brand, I Slootweg, M de Rooij, H Huisman European Radiology 32, 2224-2234, 2021	71	2021
Artificial Intelligence and Radiologists in Prostate Cancer Detection on MRI (PI-CAI): An International, Paired, Non-inferiority, Confirmatory Study A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ... The Lancet Oncology 25 (7), 2024	61*	2024
Artificial Intelligence for Prostate MRI: Open Datasets, Available Applications, and Grand Challenges MRS Sunoqrot, A Saha, M Hosseinzadeh, M Elschot, H Huisman European Radiology Experimental 6 (1), 35, 2022	40	2022
Biomedical Image Analysis Competitions: The State of Current Participation Practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022	24	2022
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation A Saha, P Prasad, A Thabit IEEE International Symposium on Biomedical Imaging, 2014-2017, 2020	23	2020
Semi-supervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI JS Bosma, A Saha, M Hosseinzadeh, I Slootweg, M de Rooij, H Huisman Radiology: Artificial Intelligence, 2023	21*	2023
AI–Assisted Biparametric MRI Surveillance of Prostate Cancer: Feasibility Study C Roest, TC Kwee, A Saha, JJ Fütterer, D Yakar, H Huisman European Radiology 32, 2022	11	2022
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI –Should Different Clinical Objectives Mandate Different Loss Functions? A Saha, JS Bosma, J Linmans, M Hosseinzadeh, H Huisman Medical Imaging Meets NeurIPS Workshop - 35th Conference on Neural …, 2021	11	2021
Medical Diffusion on a Budget: Textual Inversion for Medical Image Generation B de Wilde, A Saha, M de Rooij, H Huisman, G Litjens Medical Imaging with Deep Learning, 2024	6	2024
Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI A Saha, M Hosseinzadeh, H Huisman Medical Imaging Meets NeurIPS Workshop - 34th Conference on Neural …, 2020	6	2020
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features A Saha, FI Tushar, K Faryna, VM D'Anniballe, R Hou, MA Mazurowski, ... SPIE Medical Imaging 2020: Computer-Aided Diagnosis, 33-38, 2020	5	2020
Combining Public Datasets for Automated Tooth Assessment in Panoramic Radiographs N van Nistelrooij, KE Ghoul, T Xi, A Saha, S Kempers, M Cenci, ... BMC Oral Health 24 (1), 1-12, 2024		2024
Reproducibility of Training Deep Learning Models for Medical Image Analysis JS Bosma, D Peeters, N Alves, A Saha, Z Saghir, C Jacobs, H Huisman Medical Imaging with Deep Learning, 2023		2023

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