| 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 |
| Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas JC Peeken, L Etzel, T Tomov, S Münch, L Schüttrumpf, JH Shaktour, ... Radiotherapy and Oncology 197, 110338, 2024 | 1 | 2024 |
| Radiomic feature robustness in CT scans affected by fiducial marker induced streak artifacts for patients with hepatocellular carcinoma D Verstappen, D Pasquier, Y Chen, P Lambin, HC Woodruff Medical Physics, 2024 | | 2024 |
| A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging E Lavrova, HC Woodruff, H Khan, E Salmon, P Lambin, C Phillips arXiv preprint arXiv:2407.13813, 2024 | | 2024 |
| Automated deep learning framework: providing decision-making information for breast cancer management J Gu, P Lambin, T Jiang eClinicalMedicine 73, 2024 | | 2024 |
| Simulated image-specific microcalcification clusters and associated mass enhancement to enhance training of a deep learning model for cancer detection in contrast-enhanced … A Van Camp, HC Woodruff, L Cockmartin, NW Marshall, H Bosmans, ... 17th International Workshop on Breast Imaging (IWBI 2024) 13174, 13-19, 2024 | | 2024 |
| Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness A Ankolekar, L Eppings, F Bottari, IF Pinho, K Howard, R Baker, Y Nan, ... Computational and Structural Biotechnology Journal, 2024 | | 2024 |
| Method of training a machine learning data processing model, method of determining a hypoxia status of a neoplasm in a human or animal body, and system therefore S Sanduleanu, P Lambin US Patent 11,972,867, 2024 | | 2024 |
| Multiplex genetic manipulations in Clostridium butyricum and Clostridium sporogenes to secrete recombinant antigen proteins for oral-spore vaccination Y Zhang, TS Bailey, P Hittmeyer, LJ Dubois, J Theys, P Lambin Microbial cell factories 23 (1), 119, 2024 | | 2024 |
| Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop … EC Nakajima, A Simpson, J Bogaerts, EGE de Vries, R Do, E Garralda, ... JCO Precision Oncology 8, e2300687, 2024 | 1 | 2024 |
| 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 | | 2024 |
| Improving shared decision making for lung cancer treatment by developing and validating an open-source web based patient decision aid for stage I–II non-small cell lung cancer I Halilaj, A Ankolekar, A Lenaers, A Chatterjee, CJG Oberije, L Eppings, ... Frontiers in Digital Health 5, 1303261, 2024 | | 2024 |
| Tumor-targeting bacteria as immune stimulants–the future of cancer immunotherapy? AM Mowday, JM van de Laak, Z Fu, KL Henare, L Dubois, P Lambin, ... Critical Reviews in Microbiology, 1-16, 2024 | 2 | 2024 |
| A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring K Connor, E Conroy, K White, LP Shiels, S Keek, A Ibrahim, ... Scientific Reports 14 (1), 2720, 2024 | | 2024 |
| Intratumor genetic heterogeneity and head and neck cancer relapse AS Pierik, JB Poell, A Brink, M Stigter-van Walsum, RH de Roest, T Poli, ... Radiotherapy and Oncology 191, 110087, 2024 | 3 | 2024 |
| Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment J Gu, X Zhong, C Fang, W Lou, P Fu, HC Woodruff, B Wang, T Jiang, ... The Oncologist 29 (2), e187-e197, 2024 | 1 | 2024 |
| Promising Diagnostic and Therapeutic Approaches Based on VHHs for Cancer Management Y Cong, N Devoogdt, P Lambin, LJ Dubois, A Yaromina Cancers 16 (2), 371, 2024 | 3 | 2024 |
| Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review A Ankolekar, S Boie, M Abdollahyan, E Gadaleta, SA Hasheminasab, ... medRxiv, 2024.08. 08.24311681, 2024 | | 2024 |
| Perceptual super-resolution in multiple sclerosis MRI DL Giraldo, H Khan, G Pineda, Z Liang, A Lozano Castillo, ... medRxiv, 2024.08. 02.24311394, 2024 | | 2024 |
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+在 maastro.nl 的电子邮件经过验证
