| Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy O Pastor-Serrano, Z Perkó Physics in Medicine & Biology 67 (10), 105006, 2022 | 41 | 2022 |
| Learning the physics of particle transport via transformers O Pastor-Serrano, Z Perkó Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12071 …, 2022 | 18 | 2022 |
| A semi-supervised autoencoder framework for joint generation and classification of breathing O Pastor-Serrano, D Lathouwers, Z Perkó Computer Methods and Programs in Biomedicine 209, 106312, 2021 | 16 | 2021 |
| How should we model and evaluate breathing interplay effects in IMPT? O Pastor-Serrano, S Habraken, D Lathouwers, M Hoogeman, D Schaart, ... Physics in Medicine & Biology 66 (23), 235003, 2021 | 15 | 2021 |
| Sub‐second photon dose prediction via transformer neural networks O Pastor‐Serrano, P Dong, C Huang, L Xing, Z Perkó Medical Physics 50 (5), 3159-3171, 2023 | 12 | 2023 |
| Learning image representations for content-based image retrieval of radiotherapy treatment plans C Huang, V Vasudevan, O Pastor-Serrano, MT Islam, Y Nomura, ... Physics in Medicine & Biology 68 (9), 095025, 2023 | 7* | 2023 |
| A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy O Pastor-Serrano, S Habraken, M Hoogeman, D Lathouwers, D Schaart, ... Physics in Medicine & Biology 68 (8), 085018, 2023 | 7 | 2023 |
| Automated radiotherapy treatment planning guided by GPT-4Vision S Liu, O Pastor-Serrano, Y Chen, M Gopaulchan, W Liang, ... arXiv preprint arXiv:2406.15609, 2024 | 3 | 2024 |
| Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling O Pastor Serrano | 1 | 2023 |
| Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy L Qiu, W Chi, X Xing, P Rajendran, M Li, Y Jiang, O Pastor-Serrano, ... arXiv preprint arXiv:2411.02815, 2024 | | 2024 |
| Station Parameter Boosted Proton Arc Therapy (SPB-PAT) Method for Highly Conformal Proton Therapy L Zhao, HM Goudarzi, O Pastor-Serrano, X Dai, L Xing, W Cao AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| BEST IN PHYSICS (Therapy): Automated Treatment Planning Guided By a Context-Aware Foundation Model O Pastor-Serrano, S Liu, Y Chen, M Gopaulchan, Y Yang, P Dong, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| On-Treatment Joint CT-MR Imaging with a Single Pair of Prior Images and Sparse X-Ray Projections O Pastor-Serrano, L Qiu, S Ye, L Yu, E Kidd, TR Niedermayr, L Liu, X Gu, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| Designing an Objective Treatment Plan Assessment Tool By Contextualizing Foundation Models S Liu, O Pastor-Serrano, Y Chen, M Gopaulchan, P Dong, Y Yang, J Zou, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| Advancing Lung Cancer Monitoring: Unveiling Continuous Tumor Progression Via Spatial-Temporal Neural Representation Learning L Qiu, L Shen, L Liu, P Rajendran, O Pastor-Serrano, X Xing, Y Jiang, ... AAPM 66th Annual Meeting & Exhibition, 2024 | | 2024 |
| PD-0657 Sub-second speed 4D-CT image registration using deep learning T van der Meulen, O Pastor-Serrano, S Habraken, Z Perko Radiotherapy and Oncology 182, S548-S549, 2023 | | 2023 |
| Modeling ray angles in deep learning based dose calculation algorithms J van der Valk Bouman, IS Breedveld, K Postek, Z Perkó, ... | | 2022 |
| Three-Dimensional Dose Super-Resolution Using Implicit Neural Representation V Vasudevan, O Pastor-Serrano, C Huang, C Chuang, Z Perko, P Dong, ... MEDICAL PHYSICS 49 (6), E711-E712, 2022 | | 2022 |
| PO-1700 Evaluating the effectiveness of interplay mitigation techniques in proton therapy H van der Wind, O Pastor-Serrano, S Habraken, D Schaart, D Lathouwers, ... Radiotherapy and Oncology 170, S1499-S1500, 2022 | | 2022 |
| OC-0038 Sub-second speed proton dose calculation with Monte Carlo accuracy using deep learning O Pastor-Serrano, Z Perkó Radiotherapy and Oncology 170, S10-S11, 2022 | | 2022 |
Zoltan PerkoDelft University of Technology, Faculty of Applied Sciences在 tudelft.nl 的电子邮件经过验证
