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2020 – today
- 2024
[j16]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)- [i10]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 abs/2407.13813 (2024) - [i9]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, Li Tan, Lili Chen, Dongming Li, Xiaoyan Xie, Manxia Lin, Philippe Lambin:
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. CoRR abs/2408.03771 (2024) - [i8]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, Henry C. Woodruff:
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study. CoRR abs/2408.03789 (2024) - [i7]Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou:
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. CoRR abs/2408.05249 (2024) - 2023
- [j15]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: 26637-26651 (2023) - [j14]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, Arthur Jochems, Philippe Lambin:
Towards texture accurate slice interpolation of medical images using PixelMiner. Comput. Biol. Medicine 161: 106701 (2023) - [j13]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): 124 (2023) - [j12]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: 119-134 (2023) - [j11]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: 100508 (2023) - [c8]Zohaib Salahuddin, Sheng Kuang, Philippe Lambin, Henry C. Woodruff:
Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts. KiTS@MICCAI 2023: 40-46 - [i6]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 abs/2301.02554 (2023) - 2022
- [j10]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: 105111 (2022) - [j9]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: 99-122 (2022) - [c7]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: 212-220 - [i5]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 abs/2201.06505 (2022) - [i4]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 abs/2202.13965 (2022) - 2021
- [j8]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: 104716 (2021) - [j7]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: 104918 (2021) - [i3]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 abs/2109.09658 (2021) - [i2]Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee, Philippe Lambin:
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods. CoRR abs/2111.02398 (2021) - 2020
- [j6]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: 183939-183951 (2020) - [j5]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) - [i1]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 abs/2007.10797 (2020)
2010 – 2019
- 2019
- [j4]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): 130:1-130:11 (2019) - 2018
- [j3]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): 871-880 (2018) - 2015
- [c6]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: 1034 - 2014
- [j2]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: 170 (2014) - 2013
- [j1]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): 692-702 (2013) - 2011
- [c5]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: 220-224
2000 – 2009
- 2009
- [c4]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: 494-497 - 2008
- [c3]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: 1034-1042 - 2007
- [c2]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: 482-487 - [c1]Vikas C. Raykar, Harald Steck, Balaji Krishnapuram, Cary Dehing-Oberije, Philippe Lambin:
On Ranking in Survival Analysis: Bounds on the Concordance Index. NIPS 2007: 1209-1216
Coauthor Index
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