Philippe Lambin

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 23

Top Topics

Mri Segmentation

Prostate Cancer

Top Venues

Comput. Biol. Medicine

Publications

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, Philippe Lambin
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. Frontiers Digit. Health 5 (2024)
Elizaveta Lavrova, Henry C. Woodruff, Hamza Khan, Eric Salmon, Philippe Lambin, Christophe Phillips
A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging. CoRR (2024)
Rihab Hami, Sena Apeke, Pascal Redou, Laurent Gaubert, Ludwig J. Dubois, Philippe Lambin, Dimitris Visvikis, Nicolas Boussion
Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images. J. Imaging 9 (6) (2023)
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
UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images. IEEE Access 11 (2023)
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets. CoRR (2023)
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. Neural Networks 165 (2023)
W. Rogers, S. A. Keek, Manon Beuque, Elizaveta Lavrova, S. Primakov, G. Wu, C. Yan, S. Sanduleanu, H. A. Gietema, R. Casale, M. Occhipinti, Henry C. Woodruff, A. Jochems, Philippe Lambin
Towards texture accurate slice interpolation of medical images using PixelMiner. Comput. Biol. Medicine 161 (2023)
Elizaveta Lavrova, Sergey Primakov, Zohaib Salahuddin, Manon Beuque, Damon Verstappen, Henry C. Woodruff, Philippe Lambin
Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis. Softw. Impacts 16 (2023)
Zohaib Salahuddin, Sheng Kuang, Philippe Lambin, Henry C. Woodruff
Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts. KiTS@MICCAI (2023)
Zohaib Salahuddin, Yi Chen, Xian Zhong, Nastaran Mohammadian Rad, Henry C. Woodruff, Philippe Lambin
HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images. HECKTOR@MICCAI (2022)
Sergey Primakov, Elizaveta Lavrova, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis. CoRR (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82 (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR (2022)
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin
Transparency of deep neural networks for medical image analysis: A review of interpretability methods. Comput. Biol. Medicine 140 (2022)
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
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging. Comput. Biol. Medicine 138 (2021)
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods. CoRR (2021)
Fadila Zerka, Visara Urovi, Fabio Bottari, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Martin Gueuning, Akshayaa Vaidyanathan, Wim Vos, Mariaelena Occhipinti, Henry C. Woodruff, Michel Dumontier, Philippe Lambin
Privacy preserving distributed learning classifiers - Sequential learning with small sets of data. Comput. Biol. Medicine 136 (2021)
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, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR (2021)
Sara Hamis, Mohammad Kohandel, Ludwig J. Dubois, Ala Yaromina, Philippe Lambin, Gibin G. Powathil
Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape. PLoS Comput. Biol. 16 (8) (2020)
Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, Samir Barakat, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Benjamin Miraglio, Henry C. Woodruff, Michel Dumontier, Philippe Lambin
Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM). IEEE Access 8 (2020)
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
Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. CoRR (2020)
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, Adriana Berlanga, Rianne Fijten
Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Sena Apeke, Laurent Gaubert, Nicolas Boussion, Philippe Lambin, Dimitris Visvikis, Vincent Rodin, Pascal Redou
Multi-Scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy. IEEE Trans. Medical Imaging 37 (4) (2018)
M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker
Information extraction of eligibility criteria for trial enrolment support. MIE (2015)
Natalie S. Fox, Maud H. W. Starmans, Syed Haider, Philippe Lambin, Paul C. Boutros
Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences. BMC Bioinform. 15 (2014)
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, Jie Tian, Robert A. Gatenby, Robert J. Gillies
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 46 (3) (2013)
Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov
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. ICMLA (2) (2011)
Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. ICMLA (2009)
Shipeng Yu, Glenn Fung, Rómer Rosales, Sriram Krishnan, R. Bharat Rao, Cary Dehing-Oberije, Philippe Lambin
Privacy-preserving cox regression for survival analysis. KDD (2008)
Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin
On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS (2007)
Glenn Fung, Renaud Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin
Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer. ICMLA (2007)