Publications
MIRO
John lee
2023
Roberfroid, Benjamin ; Barragan Montero, Ana Maria ; Dechambre, David ; Sterpin, Edmond ; Lee, John Aldo ; Geets, Xavier. Comparison of Ethos template-based planning and AI-based dose prediction: General performance, patient optimality, and limitations. In: Physica Medica, Vol. 116, no.103178, p. 103178 (2023). doi:10.1016/j.ejmp.2023.103178.
2023
Huet, Margerie ; Michiels, Steven ; Teruel Rivas, Sara ; Ozan, Hamdiye ; Sterpin, Edmond ; Lee, John Aldo ; Barragan Montero, Ana Maria. Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer. In: Medical Physics, (2023). doi:10.1002/mp.16431.
2023
Walter Serna-Serna ; De Bodt, Cyril ; Andres M. Alvarez-Meza ; Lee, John Aldo ; Verleysen, Michel ; Alvaro A. Orozco-Gutierrez. Semi-supervised t-SNE with multi-scale neighborhood preservation. In: Neurocomputing, Vol. 550, no.1, p. 126496 (2023). doi:10.1016/j.neucom.2023.126496.
2023
Pross, Danah ; Wuyckens, Sophie ; Deffet, Sylvain ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. Technical note: Beamlet‐free optimization for Monte‐Carlo‐based treatment planning in proton therapy. In: Medical Physics, Vol. 51, no.1, p. 485-493 (2023). doi:10.1002/mp.16813.
2022
Draguet, Camille ; Barragan Montero, Ana Maria ; Chocan Vera, Macarena ; Thomas, Melissa ; Populaire, Pieter ; Defraene, Gilles ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer. In: Radiotherapy and oncology, Vol. 176, p. 101-107 (2022). doi:10.1016/j.radonc.2022.08.031.
2022
Wuyckens, Sophie ; Zhao, Lewei ; Saint-Guillain, Michael ; Janssens, Guillaume ; Sterpin, Edmond ; Souris, Kevin ; Ding, Xuanfeng ; Lee, John Aldo. Bi-criteria Pareto optimization to balance irradiation time and dosimetric objectives in proton arc therapy. In: Physics in Medicine & Biology, Vol. 67, no.24, p. 245017 (2022). doi:10.1088/1361-6560/aca5e9.
2022
Guérit, Stéphanie ; Sivankutty, Siddharth ; Lee, John Aldo ; Rigneault, Hervé ; Jacques, Laurent. Compressive Imaging Through Optical Fiber with Partial Speckle Scanning. In: SIAM Journal on Imaging Sciences, Vol. 15, no.2, p. 387-423 (2022). doi:10.1137/21m1407586.
2022
Beznik, Thomas ; Smyth, Paul ; Lannoy, Gael de ; Lee, John Aldo. Deep learning to detect bacterial colonies for the production of vaccines. In: Neurocomputing, Vol. 470, no.1, p. 427-431 (2022). doi:10.1016/j.neucom.2021.04.130.
2022
Cohilis, Marie ; Hong, L. ; Janssens, G. ; Rossomme, S. ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. Development and validation of an automatic commissioning tool for the Monte Carlo dose engine in myQA iON. In: Physica Medica, Vol. 95, p. 1-8 (2022). doi:10.1016/j.ejmp.2022.01.002.
2022
Lambert, Pierre ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo. SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. In: Neurocomputing, Vol. 503, p. 17-27 (2022).
2022
Barragan Montero, Ana Maria ; Bibal, Adrien ; Huet, Margerie ; Draguet, Camille ; Valdés, Gilmer ; Nguyen, Dan ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. In: Physics in Medicine & Biology, Vol. 67, no.11, p. 11TR01 (2022). doi:10.1088/1361-6560/ac678a.
2021
Barragan Montero, Ana Maria ; Javaid, Umair ; Valdés, Gilmer ; Nguyen, Dan ; Desbordes, Paul ; Macq, Benoît ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Michiels, Steven ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Artificial intelligence and machine learning for medical imaging: A technology review. In: Physica Medica, Vol. 83, p. 242-256 (2021). doi:10.1016/j.ejmp.2021.04.016.
2021
Barragan Montero, Ana Maria ; Thomas, Melissa ; Defraene, Gilles ; Michiels, Steven ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance. In: Physica Medica, Vol. 83, p. 52-63 (2021). doi:10.1016/j.ejmp.2021.02.026.
2021
Javaid, Umair ; Souris, Kevin ; Huang, Sheng ; Lee, John Aldo. Denoising proton therapy Monte Carlo dose distributions in multiple tumor sites: A comparative neural networks architecture study.. In: Physica medica, Vol. 89, p. 93-103 (2021). doi:10.1016/j.ejmp.2021.07.022.
2021
Sterpin, Edmond ; Teruel Rivas, Sara ; Van Den Heuvel, F. ; George, B. ; Lee, John Aldo ; Souris, Kevin. Development of robustness evaluation strategies for enabling statistically consistent reporting. In: Physics in Medicine and Biology, Vol. 66, no.4 (2021). doi:10.1088/1361-6560/abd22f.
2021
Brion, Eliott ; Léger, Jean ; Barragan Montero, Ana Maria ; Meert, Nicolas ; Lee, John Aldo ; Macq, Benoît. Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. In: Computers in Biology and Medicine, Vol. 131, no. 1, p. 104269 [1-12] (2021). doi:10.1016/j.compbiomed.2021.104269.
2021
Vander Veken, Loic ; Dechambre, David ; Sterpin, Edmond ; Souris, Kevin ; Van Ooteghem, Geneviève ; Lee, John Aldo ; Geets, Xavier. Incorporation of tumor motion directionality in margin recipe: The directional MidP strategy.. In: Physica medica, Vol. 91, p. 43-53 (2021). doi:10.1016/j.ejmp.2021.10.010.
2021
Lopez Sanchez, Daniel ; De Bodt, Cyril ; Lee, John Aldo ; González Arrieta, Angélica ; Corchado, Juan M.. Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. In: Applied Intelligence, Vol. 52, no. 5, p. 4927-4939 (2022). doi:10.1007/s10489-021-02626-6.
2020
Cohilis, Marie ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. A noise correction of the γ‐index method for Monte Carlo dose distribution comparison. In: Medical Physics, Vol. 47, no. 2, p. 681-692 (2020). doi:10.1002/mp.13888.
2020
Buti, Gregory ; Souris, Kevin ; Barragan Montero, Ana Maria ; Cohilis, Marie ; Lee, John Aldo ; Sterpin, Edmond. Accelerated robust optimization algorithm for proton therapy treatment planning. In: Medical Physics, Vol. 47, no. 7, p. 2746-2754 (2020). doi:10.1002/mp.14132.
2020
Léger, Jean ; Brion, Eliott ; Desbordes, Paul ; De Vleeschouwer, Christophe ; Lee, John Aldo ; Macq, Benoît. Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT. In: Applied Sciences, (2020) (Accepté/Sous presse).
2020
De Bodt, Cyril ; Mulders, Dounia ; Verleysen, Michel ; Lee, John Aldo. Fast Multiscale Neighbor Embedding. In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, no. 4, p. 1546 - 1560 (2022). doi:10.1109/TNNLS.2020.3042807.
2020
Vander Veken, Loïc ; Dechambre, David ; Michiels,Seven ; Cohilis, Marie ; Souris, Kevin ; Lee, John Aldo ; Geets, Xavier. Improvement of kilovoltage intrafraction monitoring accuracy through gantry angles selection. In: Biomedical Physics & Engineering Express, Vol. 6, no.6, p. 1-12 (2020). doi:10.1088/2057-1976/abb18e.
2022
Lee, John Aldo ; De Bodt, Cyril ; Journaux, Ludovic ; Sautot, Lucile. Proximities in dimensionality reduction. In: Torre, André ; Gallaud, Delphine, Handbook of Proximity Relations (Economics 2022), André Torre, Delphine Gallaud, 2022, p. 165–203. 9781786434777. doi:10.4337/9781786434784.00016.
2023
Couplet, Edouard ; Lambert, Pierre ; Verleysen, Michel ; Mulders, Dounia ; Lee, John Aldo ; De Bodt, Cyril. Natively Interpretable t-SNE. ECML PKDD (Torino, Italy, du 18/09/2023 au 22/09/2023). In: Proceedings of AIMLAI workshop, Vol. 1, no.1, p. 1-16 (2023).
2023
Lambert, Pierre ; Lee, John Aldo ; Couplet, Edouard ; De Bodt, Cyril. Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges, Belgium, du 04/10/2023 au 06/10/2023). In: ESANN proceedings, Vol. 1, no.1, p. 1-6 (2023). doi:10.14428/esann/2023.ES2023-147.
2023
Couplet, Edouard ; Lambert, Pierre ; Verleysen, Michel ; Lee, John Aldo ; De Bodt, Cyril. On the number of latent representations in deep neural networks for tabular data. 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges, Belgium, du 04/10/2023 au 06/10/2023). In: ESANN proceedings, Vol. 1, no.1, p. 1-6 (2023). doi:10.14428/esann/2023.ES2023-156.
2021
Lambert, Pierre ; Lee, John Aldo ; Verleysen, Michel ; De Bodt, Cyril. Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Online event, du 06/10/2021 au 08/10/2021). In: ESANN 2021 proceedings, 2021. 978287587082-7, 435-440.
2021
Lambert, Pierre ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo. Stochastic quartet approach for fast multidimensional scaling. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Online event, du 06/10/2021 au 08/10/2021). In: ESANN 2021 proceedings, 2021. 978287587082-7, 417-422.
2020
Crecchi Francesco ; De Bodt, Cyril ; Verleysen, Michel ; Lee, John Aldo ; Bacciu Davide. Perplexity-free Parametric t-SNE. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (du 02/10/2020 au 04/10/2020). In: ESANN 2020 proceedings, 2020. 978-2-87587-074-2, p. 387-392.
Provided by DIAL
Edmond Sterpin
2023
Meric, I. ; Alagoz, E. ; Hysing, L.B. ; Kögler, T. ; Lathouwers, D. ; Lionheart, W.R.B. ; Mattingly, J. ; Obhodas, J. ; Pausch, G. ; Pettersen, H.E.S. ; Ratliff, H.N. ; Rovituso, M. ; Schellhammer, S.M. ; Setterdahl, L.M. ; Skjerdal, K. ; Sterpin, Edmond ; Sudac, D. ; Turko, J.A. ; Ytre-Hauge, K.S. ; The NOVO collaboration. A hybrid multi-particle approach to range assessment-based treatment verification in particle therapy. In: Scientific Reports, Vol. 13, no.1 (2023). doi:10.1038/s41598-023-33777-w.
2023
Collado-Lara, G. ; Heymans, S.V. ; Rovituso, M. ; Sterpin, Edmond ; D'hooge, J. ; Vos, H.J. ; Abeele, K.V.D. ; de Jong, N.. Analytic prediction of droplet vaporization events to estimate the precision of ultrasound-based proton range verification. In: Medical Physics, (2023). doi:10.1002/mp.16327.
2023
Nabha, R. ; De Saint-Hubert, M. ; Marichal, J. ; Esser, J. ; Van Hoey, O. ; Bäumer, C. ; Verbeek, N. ; Struelens, L. ; Sterpin, Edmond ; Tabury, K. ; Marek, L. ; Granja, C. ; Timmermann, B. ; Vanhavere, F.. Biophysical characterization of collimated and uncollimated fields in pencil beam scanning proton therapy. In: Physics in Medicine and Biology, Vol. 68, no.6 (2023). doi:10.1088/1361-6560/acbe8d.
2023
Roberfroid, Benjamin ; Barragan Montero, Ana Maria ; Dechambre, David ; Sterpin, Edmond ; Lee, John Aldo ; Geets, Xavier. Comparison of Ethos template-based planning and AI-based dose prediction: General performance, patient optimality, and limitations. In: Physica Medica, Vol. 116, no.103178, p. 103178 (2023). doi:10.1016/j.ejmp.2023.103178.
2023
Deffet, Sylvain ; Hamaide, Valentin ; Sterpin, Edmond. Definition of dose rate for FLASH pencil‐beam scanning proton therapy: A comparative study. In: Medical Physics, Vol. 50, no.9, p. 5784-5792 (2023). doi:10.1002/mp.16607.
2023
Borderias Villarroel, Elena Lucia ; Fredriksson, A. ; Cvilic, S. ; Di Perri, Dario ; Longton, E. ; Pierrard, Julien ; Geets, Xavier ; Sterpin, Edmond. Dose mimicking based strategies for online adaptive proton therapy of head and neck cancer. In: Physics in Medicine and Biology, Vol. 68, no.10, p. N (2023). doi:10.1088/1361-6560/accb38.
2023
Barragan Montero, Ana Maria ; Van Ooteghem, Geneviève ; Dumont, Damien ; Rivas, Sara Teruel ; Sterpin, Edmond ; Geets, Xavier. Dosimetrically triggered adaptive radiotherapy for head and neck cancer: Considerations for the implementation of clinical protocols. In: Journal of Applied Clinical Medical Physics, Vol. 24, no.11, p. 1-13 (2023). doi:10.1002/acm2.14095.
2023
Buti, Gregory ; Shusharina, N. ; Ajdari, A. ; Sterpin, Edmond ; Bortfeld, T.. Exploring trade-offs in treatment planning for brain tumor cases with a probabilistic definition of the clinical target volume. In: Medical Physics, Vol. 50, no.1, p. 410-423 (2023). doi:10.1002/mp.16097.
2023
Borderias Villarroel, Elena Lucia ; Huet, Margerie ; Barragan Montero, Ana Maria ; Helander, R. ; Holmstrom, M. ; Geets, Xavier ; Sterpin, Edmond. Machine learning-based automatic proton therapy planning: Impact of post-processing and dose-mimicking in plan robustness. In: Medical Physics, (2023). doi:10.1002/mp.16408 (Accepté/Sous presse).
2023
Huet, Margerie ; Michiels, Steven ; Teruel Rivas, Sara ; Ozan, Hamdiye ; Sterpin, Edmond ; Lee, John Aldo ; Barragan Montero, Ana Maria. Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer. In: Medical Physics, (2023). doi:10.1002/mp.16431.
2023
Riva, Matteo ; Wouters, R. ; Nittner, D. ; Ceusters, J. ; Sterpin, Edmond ; Giovannoni, R. ; Himmelreich, U. ; Gsell, W. ; VAN Ranst, M. ; Coosemans, A.. Radiation dose-escalation and dose-fractionation modulate the immune microenvironment, cancer stem cells and vasculature in experimental high-grade gliomas. In: Journal of neurosurgical sciences, Vol. 67, no.1, p. 55-65 (2023). doi:10.23736/S0390-5616.20.05060-2.
2023
Pross, Danah ; Wuyckens, Sophie ; Deffet, Sylvain ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. Technical note: Beamlet‐free optimization for Monte‐Carlo‐based treatment planning in proton therapy. In: Medical Physics, Vol. 51, no.1, p. 485-493 (2023). doi:10.1002/mp.16813.
2023
Saade, G. ; Bogaerts, Eva ; Chiavassa, S. ; Blain, G. ; Delpon, G. ; Evin, M. ; Ghannam, Y. ; Haddad, F. ; Haustermans, K. ; Koumeir, C. ; Macaeva, Ellina ; Maigne, L. ; Mouchard, Q. ; Servagent, N. ; Sterpin, Edmond ; Supiot, S. ; Potiron, V.. Ultrahigh-Dose-Rate Proton Irradiation Elicits Reduced Toxicity in Zebrafish Embryos. In: Advances in Radiation Oncology, Vol. 8, no.2 (2023). doi:10.1016/j.adro.2022.101124.
2022
Nabha, Racell ; Van Hoey, Olivier ; Granja, Carlos ; Parisi, Alesso ; De Saint-Hubert, Marijke ; Struelens, Lara ; Oancea, Cristina ; Sterpin, Edmond ; Zach, Vaclav ; Štursa, Jan ; Ruciński, Antoni ; Gajewski, Jan ; Stasica, Paulina ; Vanhavere, Filip. A novel method to assess the incident angle and the LET of protons using a compact single-layer Timepix detector. In: Radiation Physics and Chemistry, Vol. 199, p. 110349 [1-11] (2022). doi:10.1016/j.radphyschem.2022.110349.
2022
Draguet, Camille ; Barragan Montero, Ana Maria ; Chocan Vera, Macarena ; Thomas, Melissa ; Populaire, Pieter ; Defraene, Gilles ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer. In: Radiotherapy and oncology, Vol. 176, p. 101-107 (2022). doi:10.1016/j.radonc.2022.08.031.
2022
Wuyckens, Sophie ; Zhao, Lewei ; Saint-Guillain, Michael ; Janssens, Guillaume ; Sterpin, Edmond ; Souris, Kevin ; Ding, Xuanfeng ; Lee, John Aldo. Bi-criteria Pareto optimization to balance irradiation time and dosimetric objectives in proton arc therapy. In: Physics in Medicine & Biology, Vol. 67, no.24, p. 245017 (2022). doi:10.1088/1361-6560/aca5e9.
2022
Knopf, A.-C. ; Czerska, K. ; Fracchiolla, F. ; Graeff, C. ; Molinelli, S. ; Rinaldi, I. ; Rucincki, A. ; Sterpin, Edmond ; Stützer, K. ; Trnkova, P. ; Zhang, Y. ; Chang, J.Y. ; Giap, H. ; Liu, W. ; Schild, S.E. ; Simone, C.B. ; Lomax, A.J. ; Meijers, A.. Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy – A comprehensive review. In: Radiotherapy and Oncology, Vol. 169, no.00, p. 77-85 (2022). doi:10.1016/j.radonc.2022.02.018.
2022
Van Der Heyden, Brent ; Heymans, Sophie V. ; Carlier, Bram ; Collado-Lara, Gonzalo ; Sterpin, Edmond ; Dhooge, Jan. Deep learning for dose assessment in radiotherapy by the super-localization of vaporized nanodroplets in high frame rate ultrasound imaging. In: Physics in Medicine and Biology, Vol. 67, p. 115015 (2022). doi:10.1088/1361-6560/ac6cc3.
2022
Cohilis, Marie ; Hong, L. ; Janssens, G. ; Rossomme, S. ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. Development and validation of an automatic commissioning tool for the Monte Carlo dose engine in myQA iON. In: Physica Medica, Vol. 95, p. 1-8 (2022). doi:10.1016/j.ejmp.2022.01.002.
2022
Borderias Villarroel, Elena Lucia ; Taasti, Vicki ; Van Elmpt, Wouter ; Teruel Rivas, Sara ; Geets, Xavier ; Sterpin, Edmond. Evaluation of the clinical value of automatic online dose restoration for adaptive proton therapy of head and neck cancer. In: Radiotherapy and oncology, Vol. 170, no. 00, p. 190-197 (2022). doi:10.1016/j.radonc.2022.03.011.
2022
Badiu, Vlad ; Souris, Kevin ; Buti, Gregory ; Borderias Villarroel, Elena Lucia ; Lambrecht, Maarten ; Sterpin, Edmond. Improved healthy tissue sparing in proton therapy of lung tumors using statistically sound robust optimization and evaluation. In: Physica medica, Vol. 96, p. 62-69 (2022). doi:10.1016/j.ejmp.2022.02.018.
2022
Elhamiasl, Masouf ; Salvo, Koen ; Poels, Kenneth ; Defraene, Gilles ; Lambrecht, Maarten ; Geets, Xavier ; Sterpin, Edmond ; Nuyts, Johan. Low-dose CT allows for accurate proton therapy dose calculation and plan optimization. In: Physics in medicine and biology, Vol. 67, no. 19, p. 195015 (2022). doi:10.1088/1361-6560/ac8dde.
2022
Collado-Lara, G. ; Heymans, S.V. ; Rovituso, M. ; Carlier, B. ; Toumia, Y. ; Verweij, M. ; Paradossi, G. ; Sterpin, Edmond ; Vos, H.J. ; D'hooge, J. ; de Jong, N. ; Van Den Abeele, K. ; Daeichin, V.. Spatiotemporal Distribution of Nanodroplet Vaporization in a Proton Beam Using Real-Time Ultrasound Imaging for Range Verification. In: Ultrasound in Medicine and Biology, Vol. 48, no.1, p. 149-156 (2022). doi:10.1016/j.ultrasmedbio.2021.09.009.
2022
Barragan Montero, Ana Maria ; Bibal, Adrien ; Huet, Margerie ; Draguet, Camille ; Valdés, Gilmer ; Nguyen, Dan ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. In: Physics in Medicine & Biology, Vol. 67, no.11, p. 11TR01 (2022). doi:10.1088/1361-6560/ac678a.
2022
Wuyckens, Sophie ; Saint-Guillain, Michael ; Janssens, Guillaume ; Zhao, Lewei ; Li, Xiaoqiang ; Ding, Xuanfeng ; Sterpin, Edmond ; Lee, John A. ; Souris, Kevin. Treatment planning in arc proton therapy: Comparison of several optimization problem statements and their corresponding solvers. In: Computers in Biology and Medicine, Vol. 148, no.1, p. 105609 (2022). doi:10.1016/j.compbiomed.2022.105609.
2022
Toumia, Y. ; Pullia, M. ; Domenici, F. ; Facoetti, A. ; Ferrarini, M. ; Heymans, S.V. ; Carlier, B. ; Van Den Abeele, K. ; Sterpin, Edmond ; D’hooge, J. ; D’Agostino, E. ; Paradossi, G.. Ultrasound-assisted carbon ion dosimetry and range measurement using injectable polymer-shelled phase-change nanodroplets: in vitro study. In: Scientific Reports, Vol. 12, no.1 (2022). doi:10.1038/s41598-022-11524-x.
2022
van der Heyden, B. ; Roden, S. ; Dok, R. ; Nuyts, S. ; Sterpin, Edmond. Virtual monoenergetic micro-CT imaging in mice with artificial intelligence. In: Scientific reports, Vol. 12, no.1, p. 2324 (2022). doi:10.1038/s41598-022-06172-0.
2021
Barragan Montero, Ana Maria ; Javaid, Umair ; Valdés, Gilmer ; Nguyen, Dan ; Desbordes, Paul ; Macq, Benoît ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Michiels, Steven ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Artificial intelligence and machine learning for medical imaging: A technology review. In: Physica Medica, Vol. 83, p. 242-256 (2021). doi:10.1016/j.ejmp.2021.04.016.
2021
Barragan Montero, Ana Maria ; Thomas, Melissa ; Defraene, Gilles ; Michiels, Steven ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance. In: Physica Medica, Vol. 83, p. 52-63 (2021). doi:10.1016/j.ejmp.2021.02.026.
2021
Sterpin, Edmond ; Teruel Rivas, Sara ; Van Den Heuvel, F. ; George, B. ; Lee, John Aldo ; Souris, Kevin. Development of robustness evaluation strategies for enabling statistically consistent reporting. In: Physics in Medicine and Biology, Vol. 66, no.4 (2021). doi:10.1088/1361-6560/abd22f.
2021
Dechambre, David ; Vander Veken, Loïc ; Delor, Antoine ; Sterpin, Edmond ; Vanneste, Françoise ; Geets, Xavier. Feasibility of a TPS-integrated method to incorporate tumor motion in the margin recipe.. In: Medical dosimetry, Vol. 46, no. 3, p. 253-258 (2021). doi:10.1016/j.meddos.2021.02.002.
2021
Vander Veken, Loic ; Dechambre, David ; Sterpin, Edmond ; Souris, Kevin ; Van Ooteghem, Geneviève ; Lee, John Aldo ; Geets, Xavier. Incorporation of tumor motion directionality in margin recipe: The directional MidP strategy.. In: Physica medica, Vol. 91, p. 43-53 (2021). doi:10.1016/j.ejmp.2021.10.010.
2021
Buti, Gregory ; Souris, Kevin ; Maria Barragán Montero, Ana ; Aldo Lee, John ; Sterpin, Edmond. Introducing a probabilistic definition of the target in a robust treatment planning framework. In: Physics in Medicine & Biology, Vol. 66, no. 15, p. 155008 (2021). doi:10.1088/1361-6560/ac1265.
2021
Heymans, S.V. ; Carlier, B. ; Toumia, Y. ; Nooijens, S. ; Ingram, M. ; Giammanco, A. ; d’Agostino, E. ; Crijns, W. ; Bertrand, A. ; Paradossi, G. ; Himmelreich, U. ; D’hooge, J. ; Van Den Abeele, K.. Modulating ultrasound contrast generation from injectable nanodroplets for proton range verification by varying the degree of superheat, collab. Sterpin, Edmond. In: Medical Physics, (2021). doi:10.1002/mp.14778.
2021
Riva, Matteo ; Wouters, Roxanne ; Sterpin, Edmond ; Giovannoni, Roberto ; Boon, Louis ; Himmelreich, Uwe ; Gsell, Willy ; Van Ranst, Marc ; Coosemans, An. Radiotherapy, Temozolomide, and Antiprogrammed Cell Death Protein 1 Treatments Modulate the Immune Microenvironment in Experimental High-Grade Glioma. In: Neurosurgery, Vol. 88, no.2, p. E205-E215 (2021). doi:10.1093/neuros/nyaa421.
2021
Toumia, Y. ; Miceli, R. ; Domenici, F. ; Heymans, S.V. ; Carlier, B. ; Cociorb, M. ; Oddo, L. ; Rossi, P. ; D'Angellilo, R.M. ; Sterpin, Edmond ; D'Agostino, E. ; Van Den Abeele, K. ; D'hooge, J. ; Paradossi, G.. Ultrasound-assisted investigation of photon triggered vaporization of poly(vinylalcohol) phase-change nanodroplets: A preliminary concept study with dosimetry perspective. In: Physica Medica, Vol. 89, p. 232-242 (2021). doi:10.1016/j.ejmp.2021.08.006.
2020
Cohilis, Marie ; Sterpin, Edmond ; Lee, John Aldo ; Souris, Kevin. A noise correction of the γ‐index method for Monte Carlo dose distribution comparison. In: Medical Physics, Vol. 47, no. 2, p. 681-692 (2020). doi:10.1002/mp.13888.
2020
Thomas, M. ; Defraene, G. ; Levis, M. ; Sterpin, Edmond ; Lambrecht, M. ; Ricardi, U. ; Haustermans, K.. A study to investigate the influence of cardiac motion on the robustness of pencil beam scanning proton plans in oesophageal cancer. In: Physics and Imaging in Radiation Oncology, Vol. 16, p. 50-53 (2020). doi:10.1016/j.phro.2020.09.003.
2020
Thomas, M. ; Defraene, G. ; Levis, M. ; Sterpin, Edmond ; Lambrecht, M. ; Ricardi, U. ; Haustermans, K.. A study to investigate the influence of cardiac motion on the robustness of pencil beam scanning proton plans in oesophageal cancer. In: Physics and Imaging in Radiation Oncology, Vol. 16, p. 50-53 (2020). doi:10.1016/j.phro.2020.09.003.
2020
Buti, Gregory ; Souris, Kevin ; Barragan Montero, Ana Maria ; Cohilis, Marie ; Lee, John Aldo ; Sterpin, Edmond. Accelerated robust optimization algorithm for proton therapy treatment planning. In: Medical Physics, Vol. 47, no. 7, p. 2746-2754 (2020). doi:10.1002/mp.14132.
2020
Kazemifar, Samaneh ; Barragan Montero, Ana Maria ; Souris, Kevin ; Rivas, Sara T. ; Timmerman, Robert ; Park, Yang K. ; Jiang, Steve ; Geets, Xavier ; Sterpin, Edmond ; Owrangi, Amir. Dosimetric evaluation of synthetic CT generated with GANs for MRI-only proton therapy treatment planning of brain tumors. In: Journal of Applied Clinical Medical Physics, Vol. 21, no. 5, p. 76-86 (2020). doi:10.1002/acm2.12856.
2020
Borderias Villarroel, Elena Lucia ; Geets, Xavier ; Sterpin, Edmond. Online adaptive dose restoration in intensity modulated proton therapy of lung cancer to account for inter-fractional density changes. In: Physics and Imaging in Radiation Oncology, Vol. 15, no.xx, p. 30-37 (2020). doi:10.1016/j.phro.2020.06.004.
2020
Carlier, Bram ; Heymans, Sophie V. ; Nooijens, Sjoerd ; Toumia, Yosra ; Ingram, Marcus ; Paradossi, Gaio ; D'Agostino, Emiliano ; Himmelreich, Uwe ; D'Hooge, Jan ; Van Den Abeele, Koen ; Sterpin, Edmond. Proton range verification with ultrasound imaging using injectable radiation sensitive nanodroplets: A feasibility study. In: Physics in Medicine and Biology, Vol. 65, no. 6, p. 17 (2020). doi:10.1088/1361-6560/ab7506.
2020
Deffet, Sylvain ; Cohilis, Marie ; Souris, Kevin ; Salvo, Koen ; Depuydt, Tom ; Sterpin, Edmond ; Macq, Benoit. openPR — A computational tool for CT conversion assessment with proton radiography. In: Medical Physics, (2020). doi:10.1002/mp.14571 (Accepté/Sous presse).
Provided by DIAL
Ana Maria Barragan Montero
2023
Roberfroid, Benjamin ; Barragan Montero, Ana Maria ; Dechambre, David ; Sterpin, Edmond ; Lee, John Aldo ; Geets, Xavier. Comparison of Ethos template-based planning and AI-based dose prediction: General performance, patient optimality, and limitations. In: Physica Medica, Vol. 116, no.103178, p. 103178 (2023). doi:10.1016/j.ejmp.2023.103178.
2023
Barragan Montero, Ana Maria ; Van Ooteghem, Geneviève ; Dumont, Damien ; Rivas, Sara Teruel ; Sterpin, Edmond ; Geets, Xavier. Dosimetrically triggered adaptive radiotherapy for head and neck cancer: Considerations for the implementation of clinical protocols. In: Journal of Applied Clinical Medical Physics, Vol. 24, no.11, p. 1-13 (2023). doi:10.1002/acm2.14095.
2023
Borderias Villarroel, Elena Lucia ; Huet, Margerie ; Barragan Montero, Ana Maria ; Helander, R. ; Holmstrom, M. ; Geets, Xavier ; Sterpin, Edmond. Machine learning-based automatic proton therapy planning: Impact of post-processing and dose-mimicking in plan robustness. In: Medical Physics, (2023). doi:10.1002/mp.16408 (Accepté/Sous presse).
2023
Huet, Margerie ; Michiels, Steven ; Teruel Rivas, Sara ; Ozan, Hamdiye ; Sterpin, Edmond ; Lee, John Aldo ; Barragan Montero, Ana Maria. Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer. In: Medical Physics, (2023). doi:10.1002/mp.16431.
2022
Draguet, Camille ; Barragan Montero, Ana Maria ; Chocan Vera, Macarena ; Thomas, Melissa ; Populaire, Pieter ; Defraene, Gilles ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer. In: Radiotherapy and oncology, Vol. 176, p. 101-107 (2022). doi:10.1016/j.radonc.2022.08.031.
2022
Barragan Montero, Ana Maria ; Bibal, Adrien ; Huet, Margerie ; Draguet, Camille ; Valdés, Gilmer ; Nguyen, Dan ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency. In: Physics in Medicine & Biology, Vol. 67, no.11, p. 11TR01 (2022). doi:10.1088/1361-6560/ac678a.
2021
Barragan Montero, Ana Maria ; Javaid, Umair ; Valdés, Gilmer ; Nguyen, Dan ; Desbordes, Paul ; Macq, Benoît ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; Michiels, Steven ; Souris, Kevin ; Sterpin, Edmond ; Lee, John Aldo. Artificial intelligence and machine learning for medical imaging: A technology review. In: Physica Medica, Vol. 83, p. 242-256 (2021). doi:10.1016/j.ejmp.2021.04.016.
2021
Barragan Montero, Ana Maria ; Thomas, Melissa ; Defraene, Gilles ; Michiels, Steven ; Haustermans, Karin ; Lee, John Aldo ; Sterpin, Edmond. Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance. In: Physica Medica, Vol. 83, p. 52-63 (2021). doi:10.1016/j.ejmp.2021.02.026.
2021
Brion, Eliott ; Léger, Jean ; Barragan Montero, Ana Maria ; Meert, Nicolas ; Lee, John Aldo ; Macq, Benoît. Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. In: Computers in Biology and Medicine, Vol. 131, no. 1, p. 104269 [1-12] (2021). doi:10.1016/j.compbiomed.2021.104269.
2021
Wu, Chao ; Nguyen, Dan ; Xing, Yixun ; Barragan Montero, Ana Maria ; Schuemann, Jan ; Shang, Haijiao ; Pu, Yuehu ; Jiang, Steve. Improving proton dose calculation accuracy by using deep learning. In: Machine Learning: Science and Technology, Vol. 2, no.1, p. 015017 (2021). doi:10.1088/2632-2153/abb6d5.
2020
Buti, Gregory ; Souris, Kevin ; Barragan Montero, Ana Maria ; Cohilis, Marie ; Lee, John Aldo ; Sterpin, Edmond. Accelerated robust optimization algorithm for proton therapy treatment planning. In: Medical Physics, Vol. 47, no. 7, p. 2746-2754 (2020). doi:10.1002/mp.14132.
2020
Kandalan, Roya Norouzi ; Nguyen, Dan ; Rezaeian, Nima Hassan ; Barragan Montero, Ana Maria ; Breedveld, Sebastiaan ; Namuduri, Kamesh ; Jiang, Steve ; Lin, Mu-Han. Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices.. In: Radiotherapy and oncology, Vol. 153, p. 228-235 (2020). doi:10.1016/j.radonc.2020.10.027.
2020
Kazemifar, Samaneh ; Barragan Montero, Ana Maria ; Souris, Kevin ; Rivas, Sara T. ; Timmerman, Robert ; Park, Yang K. ; Jiang, Steve ; Geets, Xavier ; Sterpin, Edmond ; Owrangi, Amir. Dosimetric evaluation of synthetic CT generated with GANs for MRI-only proton therapy treatment planning of brain tumors. In: Journal of Applied Clinical Medical Physics, Vol. 21, no. 5, p. 76-86 (2020). doi:10.1002/acm2.12856.
2021
John, Lee ; Vanginderdeuren, Alyssa ; Huet-Dastarac, Margerie ; Barragan Montero, Ana Maria. Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. ESANN 2021 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Online event (Bruges, Belgium), du 6/10/2021 au 8/10/2021). In: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. doi:10.14428/esann/2021.es2021-117.
Provided by DIAL