Philippe Lambin

Orcid: 0000-0001-7961-0191

According to our database1, Philippe Lambin authored at least 26 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.
Neural Networks, August, 2023

Towards texture accurate slice interpolation of medical images using PixelMiner.
Comput. Biol. Medicine, July, 2023

Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis.
Softw. Impacts, May, 2023

Predicting the Tumour Response to Radiation by Modelling the Five Rs of Radiotherapy Using PET Images.
J. Imaging, 2023

UR-CarA-Net: A Cascaded Framework With Uncertainty Regularization for Automated Segmentation of Carotid Arteries on Black Blood MR Images.
IEEE Access, 2023

Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis.
CoRR, 2022

Transparency of deep neural networks for medical image analysis: A review of interpretability methods.
Comput. Biol. Medicine, 2022

HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.
CoRR, 2021

Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.
Comput. Biol. Medicine, 2021

Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging.
Comput. Biol. Medicine, 2021

2020
Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape.
PLoS Comput. Biol., 2020

Nine Recommendations for Decision Aid Implementation from the Clinician Perspective.
CoRR, 2020

Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM).
IEEE Access, 2020

2019
Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making.
BMC Medical Informatics Decis. Mak., 2019

2018
Multi-Scale Modeling and Oxygen Impact on Tumor Temporal Evolution: Application on Rectal Cancer During Radiotherapy.
IEEE Trans. Medical Imaging, 2018

2015
Information extraction of eligibility criteria for trial enrolment support.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

2014
Ensemble analyses improve signatures of tumour hypoxia and reveal inter-platform differences.
BMC Bioinform., 2014

2013
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Pattern Recognit., 2013

2011
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.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2009
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Privacy-preserving cox regression for survival analysis.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
On Ranking in Survival Analysis: Bounds on the Concordance Index.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007


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