Search Results - "Montero, A. Barragan"

Time is NTCP: Should we maximize patient throughput or perform online adaptation on proton therapy systems? by Borderías-Villarroel, E., Barragán-Montero, A., Sterpin, E.

“…•We compare the NTCP gain using online adaptive IMPT against the potential loss in treatment machine capacity.•Reduced setup errors may lead to NTCP gains…”
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Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want? by Huet-Dastarac, M., van Acht, N.M.C., Maruccio, F.C., van Aalst, J.E., van Oorschodt, J.C.J., Cnossen, F., Janssen, T.M., Brouwer, C.L., Barragan Montero, A., Hurkmans, C.W.

“…•Clinicians preferred the binary voxel-level uncertainty visualisation.•Combining structure-level and voxel-level methods seemed a promising approach.•The…”
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Impact of machine log-files uncertainties on the quality assurance of proton pencil beam scanning treatment delivery by Toscano, S, Souris, K, Gomà, C, Barragán-Montero, A, Puydupin, S, Stappen, F Vander, Janssens, G, Matic, A, Geets, X, Sterpin, E

“…Irradiation log-files store useful information about the plan delivery, and together with independent Monte Carlo dose engine calculations can be used to…”
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Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT by Brion, Eliott, Léger, Jean, Barragán-Montero, A.M., Meert, Nicolas, Lee, John A., Macq, Benoit

“…In radiation therapy, a CT image is used to manually delineate the organs and plan the treatment. During the treatment, a cone beam CT (CBCT) is often acquired…”
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OC-0070: Automatic dose painting workflow: from tumor segmentation to optimization by Barragán Montero, A, Lee, J.A, Sterpin, E

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PO-1988 Feasibility of bi-criteria optimization applied to proton arc therapy treatment planning by Wuyckens, S., Zhao, L., Saint-Guillain, M., Janssens, G., Barragan Montero, A., Sterpin, E., Souris, K., Ding, X., Lee, J.

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OC-0700: Accelerated robust IMPT optimization with sleeper scenarios by Buti, G., Souris, K., Montero, A. Barragan, Lee, J.A., Sterpin, E.

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PO-1982 Comparison of SPArc algorithm efficiency using beamlet-based and beamlet-free optimization schemes by Wuyckens, S., Janssens, G., Zhao, L., Ding, X., Chocan Vera, M., Ozan, H., Barragan Montero, A., Sterpin, E., Lee, J., Souris, K.

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PO-1079 PARROT: An end-to-end open source workflow of AI-assisted treatment planning and decision support by Huet Dastarac, M., Zhao, W., Deffet, S., Longton, E., Cvilic, S., Michiels, S., Sterpin, E., Macq, B., Lee, J., Barragan-Montero, A.

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PD-0881 Deep learning dose prediction as a tool to evaluate treatment complications based on NTCP models by Draguet, C., Barragan-Montero, A., Michiels, S., Defraene, G., Thomas, M., Haustermans, K., Lee, J., Sterpin, E.

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SU‐F‐BRD‐05: Robustness of Dose Painting by Numbers in Proton Therapy by Montero, A Barragan, Sterpin, E, Lee, J

“…Purpose: Proton range uncertainties may cause important dose perturbations within the target volume, especially when steep dose gradients are present as in…”
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WE-AB-209-01: A Monte Carlo-Based Method to Include Random Errors in Robust Optimization by Barragan Montero, A, Souris, K, Lee, J, Sterpin, E

“…Purpose: To develop an efficient method to implement random set-up errors and organ motion in robust optimization for proton therapy treatment planning…”
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SU‐E‐T‐182: Feasibility of Dose Painting by Numbers in Proton Therapy with Contour‐Driven Plan Optimization by Montero, A Barragan, Differding, S, Lee, J, Sterpin, E

“…Purpose: The work aims to 1) prove the feasibility of dose painting by numbers (DPBN) in proton therapy with usual contour‐driven plan optimization and 2)…”
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MO-FG-CAMPUS-TeP3-01: A Model of Baseline Shift to Improve Robustness of Proton Therapy Treatments of Moving Tumors by Souris, K, Barragan Montero, A, Sterpin, E, Di Perri, D, Geets, X, Lee, J

“…Purpose: The shift in mean position of a moving tumor also known as “baseline shift”, has been modeled, in order to automatically generate uncertainty…”
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PO-1658 Specificity and limits of Ethos template-based intelligent dose optimization engine by Roberfroid, B., Barragán-Montero, A., Sterpin, E., Lee, J.A., Geets, X.

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A Novel Linear Energy Transfer Integrated Spot-Scanning Proton Arc Therapy Algorithm: Feasibility Study and Clinical Potential by Li, X., Ding, X., Zheng, W., Liu, G., Janssens, G., Souris, K., Barragán Montero, A., Yan, D., Stevens, C.W., Kabolizadeh, P.

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