Junghoon Lee

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Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Jeff SiewerdsenProfessor of Imaging Physics, The University of Texas MD Anderson Cancer CenterPatvirtintas el. paštas mdanderson.org
Seyoun ParkJohns Hopkins University, School of MedicinePatvirtintas el. paštas jhmi.edu
Aaron CarassJohns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Jonghye WooAssociate Professor of Radiology, Harvard Medical School | MGHPatvirtintas el. paštas mgh.harvard.edu
Maureen StoneUniversity of Maryland Dental SchoolPatvirtintas el. paštas umaryland.edu
Gabor FichtingerProfessor and Canada Research Chair in Computer-Integrated Surgery, Queen's University, CanadaPatvirtintas el. paštas queensu.ca
Emi Z. Murano, MD, PhDUniversity of São Paulo, School of Medicine (FMUSP)Patvirtintas el. paštas hc.fm.usp.br
Ali UneriBiomedical Engineering - Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Nathanael KuoJohns Hopkins UniversityPatvirtintas el. paštas jhmi.edu
Wojtek ZbijewskiBME Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
William PlishkerUniversity of MarylandPatvirtintas el. paštas umd.edu
Grace Jianan GangUniversity of Pennsylvania, Johns Hopkins University, University of TorontoPatvirtintas el. paštas pennmedicine.upenn.edu
J Webster StaymanAssociate Professor of Biomedical Engineering, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Russell H. TaylorJohn C. Malone Professor of Computer Science, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Ameet JainEPM, ApplePatvirtintas el. paštas apple.com
Snehashis RoyNational Institute of Mental Health (NIMH)Patvirtintas el. paštas nih.gov
Jae-Ho HanKorea UniversityPatvirtintas el. paštas korea.ac.kr
John E. JohnsonThe Scripps Research InstitutePatvirtintas el. paštas scripps.edu
Sebastian SchaferSiemens Healthcare USA, AXPatvirtintas el. paštas siemens.com

Stebėti

Junghoon Lee

Associate Professor of Radiation Oncology, Johns Hopkins University

Patvirtintas el. paštas jhu.edu - Pagrindinis puslapis

Medical Imaging Image Processing and Analysis Computer Vision Machine Learning Image-Guided Interventions


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Added value of computer-aided CT image features for early lung cancer diagnosis with small pulmonary nodules: a matched case-control study P Huang, S Park, R Yan, J Lee, LC Chu, CT Lin, A Hussien, J Rathmell, ... Radiology 286 (1), 286-295, 2018	210	2018
Unpaired brain MR-to-CT synthesis using a structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, Z Xu, J Prince Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018	205	2018
Analysis of Fourier‐domain task‐based detectability index in tomosynthesis and cone‐beam CT in relation to human observer performance GJ Gang, J Lee, JW Stayman, DJ Tward, W Zbijewski, JL Prince, ... Medical physics 38 (4), 1754-1768, 2011	173	2011
Unsupervised MR-to-CT synthesis using structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, JL Prince, Z Xu IEEE transactions on medical imaging 39 (12), 4249-4261, 2020	170	2020
Anatomical background and generalized detectability in tomosynthesis and cone‐beam CT GJ Gang, DJ Tward, J Lee, JH Siewerdsen Medical physics 37 (5), 1948-1965, 2010	169	2010
Distinguishing true progression from radionecrosis after stereotactic radiation therapy for brain metastases with machine learning and radiomics L Peng, V Parekh, P Huang, DD Lin, K Sheikh, B Baker, T Kirschbaum, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 1236-1243, 2018	142	2018
Pixelation effect removal from fiber bundle probe based optical coherence tomography imaging JH Han, J Lee, JU Kang Optics express 18 (7), 7427-7439, 2010	125	2010
Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands K Sheikh, SH Lee, Z Cheng, P Lakshminarayanan, L Peng, P Han, ... Radiation Oncology 14 (1), 1-11, 2019	109	2019
Structure and variability in human tongue muscle anatomy M Stone, J Woo, J Lee, T Poole, A Seagraves, M Chung, E Kim, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018	81	2018
MR to CT registration of brains using image synthesis S Roy, A Carass, A Jog, JL Prince, J Lee Proceedings of SPIE 9034, spie. org/Publications/Proceedings/Paper/10.1117 …, 2014	80	2014
Whole brain segmentation and labeling from CT using synthetic MR images C Zhao, A Carass, J Lee, Y He, JL Prince Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017	77	2017
4D tumor centroid tracking using orthogonal 2D dynamic MRI: implications for radiotherapy planning E Tryggestad, A Flammang, R Hales, J Herman, J Lee, T McNutt, ... Medical physics 40 (9), 091712, 2013	73	2013
Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy SH Lee, P Han, RK Hales, KR Voong, K Noro, S Sugiyama, JW Haller, ... Physics in Medicine & Biology 65 (19), 195015, 2020	67	2020
Cross contrast multi-channel image registration using image synthesis for MR brain images M Chen, A Carass, A Jog, J Lee, S Roy, JL Prince Medical image analysis 36, 2-14, 2017	59	2017
Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance R Han, CK Jones, J Lee, P Wu, P Vagdargi, A Uneri, PA Helm, M Luciano, ... Medical image analysis 75, 102292, 2022	49	2022
Radiation versus immune checkpoint inhibitor associated pneumonitis: distinct radiologic morphologies X Chen, K Sheikh, E Nakajima, CT Lin, J Lee, C Hu, RK Hales, PM Forde, ... The oncologist 26 (10), e1822-e1832, 2021	48	2021
Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning J Lee, A Carass, A Jog, C Zhao, JL Prince Medical Imaging 2017: Image Processing 10133, 434-439, 2017	48	2017
Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning WT Hrinivich, J Lee Medical Physics 47 (12), 6140-6150, 2020	44	2020
Dose/volume histogram patterns in salivary gland subvolumes influence xerostomia injury and recovery P Han, P Lakshminarayanan, W Jiang, I Shpitser, X Hui, SH Lee, Z Cheng, ... Scientific reports 9 (1), 3616, 2019	43	2019
Penalized-likelihood reconstruction for sparse data acquisitions with unregistered prior images and compressed sensing penalties JW Stayman, W Zbijewski, Y Otake, A Uneri, S Schafer, J Lee, JL Prince, ... Medical Imaging 2011: Physics of Medical Imaging 7961, 463-468, 2011	41	2011

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