Sebastian van der Voort

Research output

Research output per year 2016 2021 2023 2024

• 19 Article
• 6 Conference contribution
• 2 Comment/Letter to the editor

Research output per year

Research output per year

Search results

• 2024

  MRI-Based Assessment of Brain Tumor Hypoxia: Correlation with Histology

  Arzanforoosh, F., Van der Velden, M., Berman, A. J. L., Van der Voort, S. R., Bos, E. M., Schouten, J. W., Vincent, A. J. P. E., Kros, J. M., Smits, M. & Warnert, E. A. H., Jan 2024, In: Cancers. 16, 1, 138.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access

• Probing the glioma microvasculature: a case series of the comparison between perfusion MRI and intraoperative high-frame-rate ultrafast Doppler ultrasound

  Alafandi, A., Tbalvandany, S. S., Arzanforoosh, F., van der Voort, S. R., Incekara, F., Verhoef, L., Warnert, E. A. H., Kruizinga, P. & Smits, M., 1 Dec 2024, In: European Radiology Experimental. 8, 1, 13.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  1 Citation (Scopus)
• 2023

  Association of pre-radiotherapy tumour burden and overall survival in newly diagnosed glioblastoma adjusted for MGMT promoter methylation status

  Alafandi, A., van Garderen, K. A., Klein, S., van der Voort, S. R., Rizopoulos, D., Nabors, L., Stupp, R., Weller, M., Gorlia, T., Tonn, J. C. & Smits, M., 1 Jul 2023, In: European Journal of Cancer. 188, p. 122-130 9 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  2 Citations (Scopus)

• Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)

  Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Balaña, C., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V. C., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 1 Dec 2023, In: Nature communications. 14, 1, 436.

  Research output: Contribution to journal › Comment/Letter to the editor › Academic

  Open Access
  1 Citation (Scopus)

• Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning

  van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Nandoe Tewarie, R., Lycklama, G. J., de Witt Hamer, P. C., Eijgelaar, R. S., French, P. J., Dubbink, H. J., Vincent, A. J. P. E., Niessen, W. J., van den Bent, M. J., Smits, M. & Klein, S., 1 Feb 2023, In: Neuro-oncology. 25, 2, p. 279-289 11 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  41 Citations (Scopus)

• Evaluating the predictive value of glioma growth models for low-grade glioma after tumor resection

  van Garderen, K. A., van der Voort, S. R., Wijnenga, M. M. J., Incekara, F., Alafandi, A., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M., French, P. J., Smits, M. & Klein, S., 2023, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. p. 1 1 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access

• From bottleneck to enabler: a new approach to regulating data-driven medical research

  Stamhuis, E., Evangelista, L., van der Voort, S., Mele, A. M., Spiller, E., Demir, E., Pin, A. & Heine, K., Aug 2023, In: Clinical and translational imaging. 11, 4, p. 311-313 3 p.

  Research output: Contribution to journal › Comment/Letter to the editor › Academic

  Open Access

• Microvasculature Features Derived from Hybrid EPI MRI in Non-Enhancing Adult-Type Diffuse Glioma Subtypes

  Arzanforoosh, F., van der Voort, S. R., Incekara, F., Vincent, A., van den Bent, M., Kros, J. M., Smits, M. & Warnert, E. A. H., 1 Apr 2023, In: Cancers. 15, 7, 2135.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  4 Citations (Scopus)

• Reproducibility of APT-weighted CEST-MRI at 3T in healthy brain and tumor across sessions and scanners

  Wu, Y., Wood, T. C., Derks, S. H. A. E., Pruis, I. J., van der Voort, S., van Zanten, S. E. M. V., Smits, M. & Warnert, E. A. H., 1 Dec 2023, In: Scientific reports. 13, 1, 18115.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  1 Citation (Scopus)
• 2022

  Evaluating Glioma Growth Predictions as a Forward Ranking Problem

  van Garderen, K. A., van der Voort, S. R., Wijnenga, M. M. J., Incekara, F., Kapsas, G., Gahrmann, R., Alafandi, A., Smits, M. & Klein, S., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 100-111 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12962 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  1 Citation (Scopus)

• Federated learning enables big data for rare cancer boundary detection

  Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Balaña, C., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu'aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 5 Dec 2022, In: Nature communications. 13, 1, p. 7346

  Research output: Contribution to journal › Article › Academic › peer-review

• Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters

  Pruis, I. J., Koene, S. R., Van Der Voort, S. R., Incekara, F., Vincent, A. J. P. E., Van Den Bent, M. J., Lycklama À Nijeholt, G. J., Nandoe Tewarie, R. D. S., Veldhuijzen Van Zanten, S. E. M. & Smits, M., 1 Jan 2022, In: Neuro-oncology advances. 4, 1, vdac023.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  10 Citations (Scopus)
• 2021

  DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data

  For the Alzheimer’s Disease Neuroimaging Initiative, Jan 2021, In: Neuroinformatics. 19, 1, p. 159-184 26 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  11 Citations (Scopus)

• Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study

  Starmans, M. P. A., Buisman, F. E., Renckens, M., Willemssen, F. E. J. A., van der Voort, S. R., Groot Koerkamp, B., Grünhagen, D. J., Niessen, W. J., Vermeulen, P. B., Verhoef, C., Visser, J. J. & Klein, S., Oct 2021, In: Clinical and Experimental Metastasis. 38, 5, p. 483-494 12 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  24 Citations (Scopus)

• EASE: Clinical Implementation of Automated Tumor Segmentation and Volume Quantification for Adult Low-Grade Glioma

  van Garderen, K. A., van der Voort, S. R., Versteeg, A., Koek, M., Gutierrez, A., van Straten, M., Rentmeester, M., Klein, S. & Smits, M., 5 Oct 2021, In: Frontiers in Medicine. 8, 738425.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  4 Citations (Scopus)

• The effect of preprocessing on convolutional neural networks for medical image segmentation

  De Raad, K. B., Van Garderen, K. A., Smits, M., Van Der Voort, S. R., Incekara, F., Oei, E. H. G., Hirvasniemi, J., Klein, S. & Starmans, M. P. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society Press, p. 655-658 4 p. 9433952. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  19 Citations (Scopus)

• The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma

  van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S. & Smits, M., Aug 2021, In: Data in brief. 37, 107191.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  12 Citations (Scopus)
• 2020

  The Association Between the Extent of Glioblastoma Resection and Survival in Light of MGMT Promoter Methylation in 326 Patients With Newly Diagnosed IDH-Wildtype Glioblastoma

  Incekara, F., Smits, M., van der Voort, S. R., Dubbink, H. J., Atmodimedjo, P. N., Kros, J. M., Vincent, A. J. P. E. & van den Bent, M., 10 Jul 2020, In: Frontiers in Oncology. 10, 1087.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  25 Citations (Scopus)

• Topographical Mapping of 436 Newly Diagnosed IDH Wildtype Glioblastoma With vs. Without MGMT Promoter Methylation

  Incekara, F., van der Voort, S. R., Dubbink, H. J., Atmodimedjo, P. N., Nandoe Tewarie, R., Lycklama, G., Vincent, A. J. P. E., Kros, J. M., Klein, S., van den Bent, M. & Smits, M., 12 May 2020, In: Frontiers in Oncology. 10, 596.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  9 Citations (Scopus)
• 2019

  Predicting the 1p/19q codeletion status of presumed low-grade glioma with an externally validated machine learning algorithm

  van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapas, G., Gardeniers, M., Schouten, J. W., Starmans, M. P. A., Tewarie, R. N., Lycklama, G. J., French, P. J., Dubbink, H. J., van den Bent, M. J., Vincent, A. J. P. E., Niessen, W. J., Klein, S. & Smits, M., 15 Dec 2019, In: Clinical Cancer Research. 25, 24, p. 7455-7462 8 p.

  Research output: Contribution to journal › Article › Academic › peer-review
  68 Citations (Scopus)

• Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

  Vos, M., Starmans, M. P. A., Timbergen, M. J. M., van der Voort, S. R., Padmos, G. A., Kessels, W., Niessen, W. J., van Leenders, G. J. L. H., Grünhagen, D. J., Sleijfer, S., Verhoef, C., Klein, S. & Visser, J. J., 1 Dec 2019, In: British Journal of Surgery. 106, 13, p. 1800-1809 10 p.

  Research output: Contribution to journal › Article › Academic › peer-review

  Open Access
  43 Citations (Scopus)
• 2018

  Classification of malignant and benign liver tumors using a radiomics approach

  Starmans, M. P. A., Miclea, R. L., Van Der Voort, S. R., Niessen, W. J., Thomeer, M. G. & Klein, S., 2018, Medical Imaging 2018: Image Processing. Angelini, E. D. & Landman, B. A. (eds.). SPIE, 105741D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10574).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  17 Citations (Scopus)

• Local image registration uncertainty estimation using polynomial chaos expansions

  Gunay, G., van der Voort, S., Luu, M. H., Moelker, A. & Klein, S., 2018, Biomedical Image Registration - 8th International Workshop, WBIR 2018, Proceedings. Klein, S., Sommer, S., Durrleman, S. & Staring, M. (eds.). Springer - Verlag, p. 115-125 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10883 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  2 Citations (Scopus)
• 2017

  Parameter sensitivity analysis in medical image registration algorithms using polynomial chaos expansions

  Gunay, G., van der Voort, S., Luu, M. H., Moelker, A. & Klein, S., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer - Verlag, p. 335-343 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  1 Citation (Scopus)

• Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas

  Van Der Voort, S. R., Gahrmann, R., Van Den Bent, M. J., Vincent, A. J. P. E., Niessen, W. J., Smits, M. & Klein, S., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society Press, p. 638-641 4 p. 7950601. (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
  4 Citations (Scopus)
• 2016

  Fast and accurate sensitivity analysis of IMPT treatment plans using Polynomial Chaos Expansion

  Perkó, Z., Van Der Voort, S. R., Van De Water, S., Hartman, C. M. H., Hoogeman, M. & Lathouwers, D., 26 May 2016, In: Physics in medicine and biology. 61, 12, p. 4646-4664 19 p.

  Research output: Contribution to journal › Article › Academic › peer-review
  37 Citations (Scopus)

• Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients

  Van Der Voort, S., Van De Water, S., Perkó, Z., Heijmen, B., Lathouwers, D. & Hoogeman, M. S., 1 May 2016, In: International Journal of Radiation Oncology Biology Physics. 95, 1, p. 163-170 8 p.

  Research output: Contribution to journal › Article › Academic › peer-review
  61 Citations (Scopus)