Leonard Wee

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Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Email yang diverifikasi di maastro.nl
Alberto TraversoIRCCS San Raffaele HospitalEmail yang diverifikasi di maastro.nl
Zhenwei ShiResearch Fellow, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesEmail yang diverifikasi di maastro.nl
Johan van SoestMaastricht UniversityEmail yang diverifikasi di maastrichtuniversity.nl
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard MedicalEmail yang diverifikasi di maastro.nl
Frank DankersLeiden University Medical CenterEmail yang diverifikasi di lumc.nl
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterEmail yang diverifikasi di moffitt.org
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBEmail yang diverifikasi di maastrichtuniversity.nl
Issam El Naqa, PhD, FAAPM, FIEEE, F...Chair of Machine Learning, H. Lee Moffitt Cancer CenterEmail yang diverifikasi di moffitt.org
Timo DeistASMLEmail yang diverifikasi di asml.com
Kieran FoleyCardiff UniversityEmail yang diverifikasi di cardiff.ac.uk
Professor Spezi EmilianoCardiff University School of EngineeringEmail yang diverifikasi di cardiff.ac.uk
Zbigniew CelinskiProfessor of Physics, University of Colorado Colorado SpringsEmail yang diverifikasi di uccs.edu
Robert CamleyDept of Physics,University of Colorado at Colorado SpringsEmail yang diverifikasi di uccs.edu
NM UngUniversity of MalayaEmail yang diverifikasi di um.edu.my
Joo-Von KimCentre for Nanoscience and Nanotechnology • CNRS | Université Paris-SaclayEmail yang diverifikasi di cnrs.fr
Ane L AppeltUniversity of Leeds and St James’s University HospitalEmail yang diverifikasi di leeds.ac.uk
Jason A. DowlingCommonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaEmail yang diverifikasi di csiro.au
Peter B GreerUniversity of NewcastleEmail yang diverifikasi di newcastle.edu.au
Tim St PierreSchool of Physics Mathematics and Computing, The University of Western AustraliaEmail yang diverifikasi di uwa.edu.au

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Leonard Wee

Maastricht University

Email yang diverifikasi di maastro.nl - Beranda

Clinical data science outcomes modelling shared decision making


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Repeatability and reproducibility of radiomic features: a systematic review A Traverso, L Wee, A Dekker, R Gillies International Journal of Radiation Oncology* Biology* Physics 102 (4), 1143-1158, 2018	784	2018
Vulnerabilities of radiomic signature development: The need for safeguards ML Welch, C McIntosh, B Haibe-Kains, MF Milosevic, L Wee, A Dekker, ... Radiotherapy and Oncology 130, 2-9, 2019	315	2019
Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers TM Deist, FJWM Dankers, G Valdes, R Wijsman, IC Hsu, C Oberije, ... Medical physics 45 (7), 3449-3459, 2018	312	2018
Data from NSCLC-radiomics HJWL Aerts, L Wee, E Rios Velazquez, RTH Leijenaar, C Parmar, ... (No Title), 2019	208	2019
Artificial intelligence‐based clinical decision support in modern medical physics: selection, acceptance, commissioning, and quality assurance G Mahadevaiah, P Rv, I Bermejo, D Jaffray, A Dekker, L Wee Medical physics 47 (5), e228-e235, 2020	125	2020
Prediction modeling methodology FJWM Dankers, A Traverso, L Wee, SMJ van Kuijk Fundamentals of clinical data science, 101-120, 2019	122	2019
Repeatability and reproducibility study of radiomic features on a phantom and human cohort AK Jha, S Mithun, V Jaiswar, UB Sherkhane, NC Purandare, K Prabhash, ... Scientific reports 11 (1), 2055, 2021	97	2021
Feasibility of MRI‐only treatment planning for proton therapy in brain and prostate cancers: dose calculation accuracy in substitute CT images L Koivula, L Wee, J Korhonen Medical Physics 43 (8Part1), 4634-4642, 2016	94	2016
Learning from scanners: Bias reduction and feature correction in radiomics I Zhovannik, J Bussink, A Traverso, Z Shi, P Kalendralis, L Wee, A Dekker, ... Clinical and translational radiation oncology 19, 33-38, 2019	82	2019
The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques A Traverso, J Van Soest, L Wee, A Dekker Medical physics 45 (10), e854-e862, 2018	82	2018
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features E Pfaehler, I Zhovannik, L Wei, R Boellaard, A Dekker, R Monshouwer, ... Physics and imaging in radiation oncology 20, 69-75, 2021	75	2021
Giant magnetoelastic response in MnAs VA Chernenko, L Wee, PG McCormick, R Street Journal of applied physics 85 (11), 7833-7837, 1999	73	1999
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing A Traverso, M Kazmierski, Z Shi, P Kalendralis, M Welch, HD Nissen, ... Physica Medica 61, 44-51, 2019	70	2019
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure Z Shi, I Zhovannik, A Traverso, FJWM Dankers, TM Deist, P Kalendralis, ... Scientific data 6 (1), 218, 2019	66	2019
Machine learning helps identifying volume-confounding effects in radiomics A Traverso, M Kazmierski, I Zhovannik, M Welch, L Wee, D Jaffray, ... Physica Medica 71, 24-30, 2020	65	2020
Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients A Traverso, M Kazmierski, ML Welch, J Weiss, S Fiset, WD Foltz, ... Radiotherapy and Oncology 143, 88-94, 2020	65	2020
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics ST Kakileti, HJ Madhu, G Manjunath, L Wee, A Dekker, S Sampangi Artificial Intelligence in Medicine 105, 101854, 2020	59	2020
The AIMe registry for artificial intelligence in biomedical research J Matschinske, N Alcaraz, A Benis, M Golebiewski, DG Grimm, L Heumos, ... Nature methods 18 (10), 1128-1131, 2021	55	2021
Data from head-neck-radiomics-HN1 L Wee, A Dekker (No Title), 2019	53	2019
Radiomics and dosiomics signature from whole lung predicts radiation pneumonitis: A model development study with prospective external validation and decision-curve analysis Z Zhang, Z Wang, M Yan, J Yu, A Dekker, L Zhao, L Wee International Journal of Radiation Oncology* Biology* Physics 115 (3), 746-758, 2023	51	2023

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