Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. - Glenn Fung; Renaud Seigneuric; Sriram Krishnan; R. Bharat Rao; Brad G. Wouters; Philippe Lambin (ICMLA, 2007)

On Ranking in Survival Analysis: Bounds on the Concordance Index. - Vikas C. Raykar; Harald Steck; Balaji Krishnapuram; Cary Dehing-Oberije; Philippe Lambin (NIPS, 2007)

Privacy-preserving cox regression for survival analysis. - Shipeng Yu; Glenn Fung; Rómer Rosales; Sriram Krishnan; R. Bharat Rao; Cary Dehing-Oberije; Philippe Lambin (KDD, 2008)

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. - Andre Dekker; Cary Dehing-Oberije; Dirk De Ruysscher; Philippe Lambin; Kartik Komati; Glenn Fung; Shipeng Yu; Andrew Hope; Wilfried De Neve; Yolande Lievens (ICMLA, 2009)

The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. - Georgi I. Nalbantov; Andre Dekker; Dirk De Ruysscher; Philippe Lambin; Evgueni N. Smirnov (ICMLA (2), 2011)

Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. - Yuhua Gu; Virendra Kumar; Lawrence O. Hall; Dmitry B. Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo J. W. L. Aerts; Philippe Lambin; Xiuli Li; et al. (Pattern Recognit., 2013)

Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences. - Natalie S. Fox; Maud H. W. Starmans; Syed Haider; Philippe Lambin; Paul C. Boutros (BMC Bioinform., 2014)

Information extraction of eligibility criteria for trial enrolment support. - M. Scott Marshall; Johan van Soest; R. Dresens; J. Paulissen; Philippe Lambin; Andre Dekker (MIE, 2015)

Multi-Scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy. - Sena Apeke; Laurent Gaubert; Nicolas Boussion; Philippe Lambin; Dimitris Visvikis; Vincent Rodin; Pascal Redou (IEEE Trans. Medical Imaging, 2018)

Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making. - Anshu Ankolekar; Ben G. L. Vanneste; Esther Bloemen-van Gurp; Joep G. van Roermund; Evert J. van Limbergen; Kees van de Beek; Tom Marcelissen; Victor Zambon; Matthias Oelke; Andre Dekker; Cheryl Roumen; Philippe Lambin; et al. (BMC Medical Informatics Decis. Mak., 2019)

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM). - Fadila Zerka; Visara Urovi; Akshayaa Vaidyanathan; Samir Barakat; Ralph T. H. Leijenaar; Sean Walsh 004; Hanif Gabrani-Juma; Benjamin Miraglio; Henry C. Woodruff; Michel Dumontier; Philippe Lambin (IEEE Access, 2020)

Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. - Anshu Ankolekar; Ben G. L. Vanneste; Esther Bloemen-van Gurp; Joep G. van Roermund; Adriana Berlanga; Cheryl Roumen; Evert J. van Limbergen; Ludy Lutgens; Tom Marcelissen; Philippe Lambin; Andre Dekker; Rianne Fijten (CoRR, 2020)

Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape. - Sara Hamis; Mohammad Kohandel; Ludwig J. Dubois; Ala Yaromina; Philippe Lambin; Gibin G. Powathil (PLoS Comput. Biol., 2020)

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging. - Manon Beuque; Marta Martin-Lorenzo; Benjamin Balluff; Henry C. Woodruff; Marit Lucas; Daniel M. de Bruin; Janita E. van Timmeren; Onno J. de Boer; Ron M. A. Heeren; Sybren L. Meijer; Philippe Lambin (Comput. Biol. Medicine, 2021)

Privacy preserving distributed learning classifiers - Sequential learning with small sets of data. - Fadila Zerka; Visara Urovi; Fabio Bottari; Ralph T. H. Leijenaar; Sean Walsh 004; Hanif Gabrani-Juma; Martin Gueuning; Akshayaa Vaidyanathan; Wim Vos; Mariaelena Occhipinti; Henry C. Woodruff; Michel Dumontier; et al. (Comput. Biol. Medicine, 2021)

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. - Karim Lekadir; Richard Osuala; Catherine Gallin; Noussair Lazrak; Kaisar Kushibar; Gianna Tsakou; Susanna Aussó; Leonor Cerdá Alberich; Konstantinos Marias; Manolis Tsiknakis; Sara Colantonio; Nickolas Papanikolaou 003; et al. (CoRR, 2021)

HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images. - Zohaib Salahuddin; Yi Chen; Xian Zhong; Nastaran Mohammadian Rad; Henry C. Woodruff; Philippe Lambin (HECKTOR@MICCAI, 2022)

Transparency of deep neural networks for medical image analysis: A review of interpretability methods. - Zohaib Salahuddin; Henry C. Woodruff; Avishek Chatterjee; Philippe Lambin (Comput. Biol. Medicine, 2022)

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis. - Sergey Primakov; Elizaveta Lavrova; Zohaib Salahuddin; Henry C. Woodruff; Philippe Lambin (CoRR, 2022)

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. - Yang Nan 002; Javier Del Ser; Simon Walsh; Carola Schönlieb; Michael Roberts; Ian Selby; Kit Howard; John Owen; Jon Neville; Julien Guiot; Benoit Ernst; Ana Pastor; et al. (Inf. Fusion, 2022)

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts. - Zohaib Salahuddin; Sheng Kuang; Philippe Lambin; Henry C. Woodruff (KiTS@MICCAI, 2023)

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. - Elizaveta Lavrova; Zohaib Salahuddin; Henry C. Woodruff; Mohamed Kassem; Robin Camarasa; Anja G. van der Kolk; Paul H. J. Nederkoorn; Daniel Bos; Jeroen Hendrikse; M. Eline Kooi; Philippe Lambin (IEEE Access, 2023)

Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images. - Rihab Hami; Sena Apeke; Pascal Redou; Laurent Gaubert; Ludwig J. Dubois; Philippe Lambin; Dimitris Visvikis; Nicolas Boussion (J. Imaging, 2023)

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis. - Elizaveta Lavrova; Sergey Primakov; Zohaib Salahuddin; Manon Beuque; Damon Verstappen; Henry C. Woodruff; Philippe Lambin (Softw. Impacts, 2023)

Towards texture accurate slice interpolation of medical images using PixelMiner. - William Rogers; S. A. Keek; Manon Beuque; Elizaveta Lavrova; Sergey Primakov; G. Wu; C. Yan; S. Sanduleanu; H. A. Gietema; R. Casale; M. Occhipinti; Henry C. Woodruff; et al. (Comput. Biol. Medicine, 2023)

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. - Sheng Kuang; Henry C. Woodruff; Renee Granzier; Thiemo J. A. van Nijnatten; Marc B. I. Lobbes; Marjolein L. Smidt; Philippe Lambin; Siamak Mehrkanoon (Neural Networks, 2023)

A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging. - Elizaveta Lavrova; Henry C. Woodruff; Hamza Khan; Eric Salmon; Philippe Lambin; Christophe Phillips (CoRR, 2024)

Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial. - Xian Zhong; Zohaib Salahuddin; Yi Chen; Henry C. Woodruff; Haiyi Long; Jianyun Peng; Nuwan Udawatte; Roberto Casale; Ayoub Mokhtari; Xiaoer Zhang; Jiayao Huang; Qingyu Wu; et al. (CoRR, 2024)

Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study. - Zohaib Salahuddin; Abdalla Ibrahim; Sheng Kuang; Yousif Widaatalla; Razvan L. Miclea; Oliver Morin; Spencer Behr; Marnix P. M. Kop; Tom Marcelissen; Patricia Zondervan; Auke Jager; Philippe Lambin; et al. (CoRR, 2024)

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Sara Khalid; Hagen Kruger; et al. (CoRR, 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. - Iva Halilaj; Anshu Ankolekar; Anouk Lenaers; Avishek Chatterjee; Cary Dehing-Oberije; Lisanne Eppings; Hans J. M. Smit; Lizza E. L. Hendriks; Arthur Jochems; Relinde I. Y. Lieverse; Janita E. van Timmeren; Anke Wind; et al. (Frontiers Digit. Health, 2024)

Advancing breast, lung and prostate cancer research with federated learning. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Claude Chelala; Sara Khalid; et al. (npj Digit. Medicine, 2025)

Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data. - Shruti Atul Mali; Zohaib Salahuddin; Danial Khan; Yumeng Zhang; Henry C. Woodruff; Eduardo Ibor-Crespo; Ana Jimenez-Pastor; Luis Martí-Bonmatí; Philippe Lambin (CoRR, 2025)

Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment. - Danial Khan; Zohaib Salahuddin; Yumeng Zhang; Sheng Kuang; Shruti Atul Mali; Henry C. Woodruff; Sina Amirrajab; Rachel Cavill; Eduardo Ibor-Crespo; Ana Jimenez-Pastor; Adrián Galiana-Bordera; Paula Jimenez Gomez; et al. (CoRR, 2025)

A Foundation Model Framework for Multi-View MRI Classification of Extramural Vascular Invasion and Mesorectal Fascia Invasion in Rectal Cancer. - Yumeng Zhang; Zohaib Salahuddin; Danial Khan; Shruti Atul Mali; Henry C. Woodruff; Sina Amirrajab; Eduardo Ibor-Crespo; Ana Jimenez-Pastor; Luis Martí-Bonmatí; Philippe Lambin (CoRR, 2025)