John A. Lee
John A. Lee
UCLouvain Professor, FNRS Research Director
Verified email at
Cited by
Cited by
Basic clinical radiobiology
MC Joiner, AJ van der Kogel
CRC press, 2018
Nonlinear dimensionality reduction
JA Lee, M Verleysen
Springer, 2007
A gradient-based method for segmenting FDG-PET images: methodology and validation
X Geets, JA Lee, A Bol, M Lonneux, V Grégoire
European journal of nuclear medicine and molecular imaging 34, 1427-1438, 2007
Quality assessment of dimensionality reduction: Rank-based criteria
JA Lee, M Verleysen
Neurocomputing 72 (7-9), 1431-1443, 2009
Visual interaction with dimensionality reduction: A structured literature analysis
D Sacha, L Zhang, M Sedlmair, JA Lee, J Peltonen, D Weiskopf, SC North, ...
IEEE transactions on visualization and computer graphics 23 (1), 241-250, 2016
Adaptive radiotherapy of head and neck cancer
P Castadot, JA Lee, X Geets, V Grégoire
Seminars in radiation oncology 20 (2), 84-93, 2010
Evaluation of Gafchromic® EBT3 films characteristics in therapy photon, electron and proton beams
J Sorriaux, A Kacperek, S Rossomme, JA Lee, D Bertrand, S Vynckier, ...
Physica Medica 29 (6), 599-606, 2013
Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors
P Castadot, JA Lee, A Parraga, X Geets, B Macq, V Grégoire
Radiotherapy and oncology 89 (1), 1-12, 2008
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis
JA Lee, A Lendasse, M Verleysen
Neurocomputing 57, 49-76, 2004
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network
E Laloy, R Hérault, J Lee, D Jacques, N Linde
Advances in water resources 110, 387-405, 2017
Classification and evaluation strategies of auto‐segmentation approaches for PET: Report of AAPM task group No. 211
M Hatt, JA Lee, CR Schmidtlein, IE Naqa, C Caldwell, E De Bernardi, ...
Medical physics 44 (6), e1-e42, 2017
Adaptive biological image-guided IMRT with anatomic and functional imaging in pharyngo-laryngeal tumors: impact on target volume delineation and dose distribution using helical …
X Geets, M Tomsej, JA Lee, T Duprez, E Coche, G Cosnard, M Lonneux, ...
Radiotherapy and Oncology 85 (1), 105-115, 2007
Artificial intelligence and machine learning for medical imaging: A technology review
A Barragán-Montero, U Javaid, G Valdés, D Nguyen, P Desbordes, ...
Physica Medica 83, 242-256, 2021
Segmentation of positron emission tomography images: some recommendations for target delineation in radiation oncology
JA Lee
Radiotherapy and oncology 96 (3), 302-307, 2010
Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens
M Wanet, JA Lee, B Weynand, M De Bast, A Poncelet, V Lacroix, E Coche, ...
Radiotherapy and Oncology 98 (1), 117-125, 2011
A robust nonlinear projection method
JA Lee, A Lendasse, N Donckers, M Verleysen
European Symposium on Artificial Neural Networks (ESANN'2000), 2000
Image processing and analysis with graphs: theory and practice
O Lézoray, L Grady
CRC Press, 2017
What you see is what you can change: Human-centered machine learning by interactive visualization
D Sacha, M Sedlmair, L Zhang, JA Lee, J Peltonen, D Weiskopf, SC North, ...
Neurocomputing 268, 164-175, 2017
Radiotherapy for head and neck tumours in 2012 and beyond: conformal, tailored, and adaptive?
R Jeraj, JA Lee
The Lancet Oncology 13 (7), e292-e300, 2012
Assessment by a deformable registration method of the volumetric and positional changes of target volumes and organs at risk in pharyngo-laryngeal tumors treated with …
P Castadot, X Geets, JA Lee, N Christian, V Grégoire
Radiotherapy and Oncology 95 (2), 209-217, 2010
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