| Transparency of deep neural networks for medical image analysis: A review of interpretability methods Z Salahuddin, HC Woodruff, A Chatterjee, P Lambin Computers in biology and medicine 140, 105111, 2022 | 378 | 2022 |
| Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods SA Mali, A Ibrahim, HC Woodruff, V Andrearczyk, H Müller, S Primakov, ... Journal of personalized medicine 11 (9), 842, 2021 | 146 | 2021 |
| FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging K Lekadir, R Osuala, C Gallin, N Lazrak, K Kushibar, G Tsakou, S Aussó, ... arXiv preprint arXiv:2109.09658, 2021 | 88 | 2021 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... bmj 388, 2025 | 29 | 2025 |
| Diagnosis of idiopathic pulmonary fibrosis in high-resolution computed tomography scans using a combination of handcrafted radiomics and deep learning T Refaee, Z Salahuddin, AN Frix, C Yan, G Wu, HC Woodruff, H Gietema, ... Frontiers in medicine 9, 915243, 2022 | 26 | 2022 |
| From head and neck tumour and lymph node segmentation to survival prediction on PET/CT: An end-to-end framework featuring uncertainty, fairness, and multi-region multi-modal … Z Salahuddin, Y Chen, X Zhong, HC Woodruff, NM Rad, SA Mali, ... Cancers 15 (7), 1932, 2023 | 17 | 2023 |
| Multi-resolution 3d convolutional neural networks for automatic coronary centerline extraction in cardiac CT angiography scans Z Salahuddin, M Lenga, H Nickisch 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 91-95, 2021 | 17 | 2021 |
| Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis E Lavrova, S Primakov, Z Salahuddin, M Beuque, D Verstappen, ... Software Impacts 16, 100508, 2023 | 14* | 2023 |
| HNT-AI: an automatic segmentation framework for head and neck primary tumors and lymph nodes in FDG-PET/CT images Z Salahuddin, Y Chen, X Zhong, NM Rad, HC Woodruff, P Lambin 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 212-220, 2022 | 11 | 2022 |
| CT reconstruction kernels and the effect of pre-and post-processing on the reproducibility of handcrafted radiomic features T Refaee, Z Salahuddin, Y Widaatalla, S Primakov, HC Woodruff, ... Journal of Personalized Medicine 12 (4), 553, 2022 | 10 | 2022 |
| UR-CARA-Net: a cascaded framework with uncertainty regularization for automated segmentation of carotid arteries on black blood MR images E Lavrova, Z Salahuddin, HC Woodruff, M Kassem, R Camarasa, ... Ieee Access 11, 26637-26651, 2023 | 7 | 2023 |
| MaasPenn radiomics reproducibility score: A novel quantitative measure for evaluating the reproducibility of CT-based handcrafted radiomic features A Ibrahim, B Barufaldi, T Refaee, TM Silva Filho, RJ Acciavatti, ... Cancers 14 (7), 1599, 2022 | 6 | 2022 |
| Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study A Mokhtari, R Casale, Z Salahuddin, Z Paquier, T Guiot, HC Woodruff, ... Diagnostics 14 (7), 712, 2024 | 2 | 2024 |
| Leveraging slic superpixel segmentation and cascaded ensemble svm for fully automated mass detection in mammograms J Simarro, Z Salahuddin, A Gouda, A Saha arXiv preprint arXiv:2010.10340, 2020 | 2 | 2020 |
| An interpretable radiomics model based on two-dimensional shear wave elastography for predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular … X Zhong, Z Salahuddin, Y Chen, HC Woodruff, H Long, J Peng, X Xie, ... Cancers 15 (21), 5303, 2023 | 1 | 2023 |
| Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study Z Salahuddin, A Ibrahim, S Kuang, Y Widaatalla, RL Miclea, O Morin, ... arXiv preprint arXiv:2408.03789, 2024 | | 2024 |
| Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and … X Zhong, Z Salahuddin, Y Chen, HC Woodruff, H Long, J Peng, ... arXiv preprint arXiv:2408.03771, 2024 | | 2024 |
| Towards trustworthy artificial intelligence in medical imaging: explainability, uncertainty and clinical utility of radiomics Z Salahuddin | | 2024 |
| From the clinic: A survey on trustworthy AI in breast cancer* S Joshi, A Emelie, M Bobowicz, G Tsakou, S Charalambous, ... 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in …, 2023 | | 2023 |
| Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts Z Salahuddin, S Kuang, P Lambin, HC Woodruff International Challenge on Kidney and Kidney Tumor Segmentation, 40-46, 2023 | | 2023 |
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBایمیل تأیید شده در maastrichtuniversity.nl
