| Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C Van Den Bogaard, ... Medical image analysis 42, 1-13, 2017 | 1059 | 2017 |
| 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 | 671 | 2018 |
| Repeatability and reproducibility of MRI-based radiomic features in cervical cancer S Fiset, ML Welch, J Weiss, M Pintilie, JL Conway, M Milosevic, A Fyles, ... Radiotherapy and Oncology 135, 107-114, 2019 | 149 | 2019 |
| Prediction modeling methodology FJWM Dankers, A Traverso, L Wee, SMJ van Kuijk Fundamentals of clinical data science, 101-120, 2019 | 103 | 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 | 81 | 2021 |
| 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 | 74 | 2018 |
| 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 | 67 | 2019 |
| 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 | 62 | 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 | 57 | 2019 |
| 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 | 56 | 2020 |
| 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 | 52 | 2020 |
| 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 | 46 | 2021 |
| Ontology‐guided radiomics analysis workflow (O‐RAW) Z Shi, A Traverso, J van Soest, A Dekker, L Wee Medical Physics 46 (12), 5677-5684, 2019 | 45 | 2019 |
| 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 | 44 | 2021 |
| Multicenter CT phantoms public dataset for radiomics reproducibility tests P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, ... Medical physics 46 (3), 1512-1518, 2019 | 36 | 2019 |
| A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies L Vassallo, A Traverso, M Agnello, C Bracco, D Campanella, G Chiara, ... European Radiology 29, 144-152, 2019 | 30 | 2019 |
| Current applications of deep-learning in neuro-oncological MRI CML Zegers, J Posch, A Traverso, D Eekers, AA Postma, W Backes, ... Physica Medica 83, 161-173, 2021 | 29 | 2021 |
| From multisource data to clinical decision aids in radiation oncology: the need for a clinical data science community J Kazmierska, A Hope, E Spezi, S Beddar, WH Nailon, B Osong, ... Radiotherapy and Oncology 153, 43-54, 2020 | 28 | 2020 |
| FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections P Kalendralis, Z Shi, A Traverso, A Choudhury, M Sloep, I Zhovannik, ... Medical Physics 47 (11), 5931-5940, 2020 | 28 | 2020 |
| Generative models improve radiomics reproducibility in low dose CTs: a simulation study J Chen, C Zhang, A Traverso, I Zhovannik, A Dekker, L Wee, I Bermejo Physics in Medicine & Biology 66 (16), 165002, 2021 | 18 | 2021 |
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verifisert e-postadresse på maastro.nl
