Follow
Leonard Wee
Leonard Wee
Maastricht University
Verified email at maastro.nl - Homepage
Title
Cited by
Cited by
Year
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
6632018
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
2762018
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
2752019
Data from NSCLC-radiomics
H Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ...
The cancer imaging archive, 2015
1802015
Prediction modeling methodology
FJWM Dankers, A Traverso, L Wee, SMJ van Kuijk
Fundamentals of clinical data science, 101-120, 2019
1022019
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
952020
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
862016
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
762021
Giant magnetoelastic response in MnAs
VA Chernenko, L Wee, PG McCormick, R Street
Journal of applied physics 85 (11), 7833-7837, 1999
741999
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
732018
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
662019
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
612019
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
572019
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
552020
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
512020
Feasibility of MRI-based reference images for image-guided radiotherapy of the pelvis with either cone-beam computed tomography or planar localization images
J Korhonen, M Kapanen, JJ Sonke, L Wee, E Salli, J Keyriläinen, ...
Acta oncologica 54 (6), 889-895, 2015
502015
Rotatable anisotropy and mixed interfaces: Exchange bias in
L Wee, RL Stamps, L Malkinski, Z Celinski
Physical Review B 69 (13), 134426, 2004
472004
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
452021
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
442021
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
442020
The system can't perform the operation now. Try again later.
Articles 1–20