| The morphological substrate for renal denervation: nerve distribution patterns and parasympathetic nerves. A post-mortem histological study WAC Van Amsterdam, PJ Blankestijn, R Goldschmeding, RLAW Bleys Annals of Anatomy-Anatomischer Anzeiger 204, 71-79, 2016 | 64 | 2016 |
| First Evidence for a Dose–Response Relationship in Patients Treated with 166Ho Radioembolization: A Prospective Study R Bastiaannet, C van Roekel, MLJ Smits, SG Elias, WAC van Amsterdam, ... Journal of Nuclear Medicine 61 (4), 608-612, 2020 | 38 | 2020 |
| Prognostic factors for overall survival of stage III non-small cell lung cancer patients on computed tomography: A systematic review and meta-analysis M Van Laar, WAC van Amsterdam, ASR van Lindert, PA de Jong, ... Radiotherapy and Oncology 151, 152-175, 2020 | 28 | 2020 |
| Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning WAC van Amsterdam, JJC Verhoeff, PA de Jong, T Leiner, ... NPJ digital medicine 2 (1), 122, 2019 | 21 | 2019 |
| Individual treatment effect estimation in the presence of unobserved confounding using proxies: a cohort study in stage III non-small cell lung cancer WAC van Amsterdam, JJC Verhoeff, NI Harlianto, GA Bartholomeus, ... Scientific reports 12 (1), 5848, 2022 | 4 | 2022 |
| Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study GA Bartholomeus, WAC van Amsterdam, AM Harder, MJ Willemink, ... European Radiology 33 (10), 7044-7055, 2023 | 3 | 2023 |
| Conditional average treatment effect estimation with marginally constrained models WAC Van Amsterdam, R Ranganath Journal of Causal Inference 11 (1), 20220027, 2023 | 2 | 2023 |
| The association between muscle quantity and overall survival depends on muscle radiodensity: a cohort study in non-small-cell lung cancer patients WAC van Amsterdam, NI Harlianto, JJC Verhoeff, P Moeskops, ... Journal of personalized medicine 12 (7), 1191, 2022 | 2 | 2022 |
| Baseline tumor-infiltrating lymphocyte patterns and response to immune checkpoint inhibition in metastatic cutaneous melanoma IAJ van Duin, M Schuiveling, LS ter Maat, WAC van Amsterdam, ... medRxiv, 2023.11. 27.23299053, 2023 | 1 | 2023 |
| Decision making in cancer: Causal questions require causal answers WAC van Amsterdam, PA de Jong, JJC Verhoeff, T Leiner, R Ranganath arXiv preprint arXiv:2209.07397, 2022 | 1 | 2022 |
| From algorithms to action: improving patient care requires causality WAC van Amsterdam, PA de Jong, JJC Verhoeff, T Leiner, R Ranganath BMC medical informatics and decision making 24 (1), 111, 2024 | | 2024 |
| Causal blind spots when using prediction models for treatment decisions N van Geloven, RH Keogh, W van Amsterdam, G Cinà, JH Krijthe, N Peek, ... arXiv preprint arXiv:2402.17366, 2024 | | 2024 |
| Body composition and checkpoint inhibitor treatment outcomes in advanced melanoma: a multicenter cohort study LS ter Maat, IAJ Van Duin, RJ Verheijden, P Moeskops, JJC Verhoeff, ... medRxiv, 2024.03. 01.24303607, 2024 | | 2024 |
| When accurate prediction models yield harmful self-fulfilling prophecies WAC van Amsterdam, N van Geloven, JH Krijthe, R Ranganath, G Ciná arXiv preprint arXiv:2312.01210, 2023 | | 2023 |
| Risk-based decision making: estimands for sequential prediction under interventions K Luijken, P Morzywołek, W van Amsterdam, G Cinà, J Hoogland, ... arXiv preprint arXiv:2311.17547, 2023 | | 2023 |
| Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma LS ter Maat, RAJ De Mooij, IAJ Van Duin, JJC Verhoeff, SG Elias, T Leiner, ... medRxiv, 2023.07. 25.23293133, 2023 | | 2023 |
| Conditional average treatment effect estimation with treatment offset models WAC van Amsterdam, R Ranganath arXiv preprint arXiv:2204.13975, 2022 | | 2022 |
| PD-0843 Individual treatment effect estimation in the presence of unobserved confounding for lung cancer W Van Amsterdam, J Verhoeff, N Harlianto, G Bartholomeus, AM Puli, ... Radiotherapy and Oncology 161, S677-S678, 2021 | | 2021 |
| Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning WAC van Amsterdam, MJC Eijkemans arXiv preprint arXiv:1904.00942, 2019 | | 2019 |
