Peter van Ooijen

2025

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules

Wang, J., Cai, J., Tang, W., Dudurych, I., van Tuinen, M., Vliegenthart, R. & van Ooijen, P., jul.-2025, In: Computerized medical imaging and graphics. 123, 13 blz., 102553.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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1 Citaat (Scopus)

27 Downloads (Pure)

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT

Wang, J., Zhang, X., Tang, W., van Tuinen, M., Vliegenthart, R. & van Ooijen, P., 27-jun.-2025, In: Insights into Imaging. 16, 10 blz., 138.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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6 Downloads (Pure)

BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction

Lee, H., Pijpker, P., Kraeima, J., Amabili, L., Cnossen, F., Roerdink, J. B. T. M., van Ooijen, P. & Kosinka, J., 2025, Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Proceedings. Magnenat-Thalmann, N., Kim, J., Sheng, B., Deng, Z., Thalmann, D. & Li, P. (uitgave). Springer Science and Business Media Deutschland GmbH, blz. 18-38 21 blz. (Lecture Notes in Computer Science; vol. 15339 LNCS).

Onderzoeksoutput › Academic › peer review

83 Downloads (Pure)

Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations

de Vette, S. P. M., Neh, H., van der Hoek, L., MacRae, D. C., Chu, H., Gawryszuk, A., Steenbakkers, R. J. H. M., van Ooijen, P. M. A., Fuller, C. D., Hutcheson, K. A., Langendijk, J. A., Sijtsema, N. M. & van Dijk, L. V., 20-jun.-2025, MedRxiv.

Onderzoeksoutput: Voordruk › Academic

Open Access

ESR Bridges: bridging the AI gap: a collaborative effort of radiologists and technical AI professionals-a multidisciplinary view

van Ooijen, P. & Ranschaert, E., feb.-2025, In: European Radiology. 35, blz. 1089–1091 3 blz.

Onderzoeksoutput › Academic › peer review

Open Access

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29 Downloads (Pure)

Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits

Maruccio, F. C., Simões, R., van Aalst, J. E., Brouwer, C. L., Sonke, J.-J., van Ooijen, P. & Janssen, T. M., apr.-2025, In: Physics and imaging in radiation oncology. 34, 7 blz., 100771.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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2 Downloads (Pure)

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble

Mol, F. N., Hoek, L. V. D., Ma, B., Nagam, B. C., Sijtsema, N. M., van Dijk, L. V., Bunte, K., Vlijm, R. & Van Ooijen, P. M. A., 2025, Head and Neck Tumor Segmentation for MR-Guided Applications - 1st MICCAI Challenge, HNTS-MRG2024 Held in Conjunction with MICCAI 2024. Wahid, K. A., Naser, M. A., Dede, C. & Fuller, C. D. (uitgave). Springer, blz. 179-190 12 blz. (Lecture Notes in Computer Science; vol. 15273 LNCS).

Onderzoeksoutput › Academic › peer review

Open Access

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16 Downloads (Pure)

Normal tissue complication probability model predicting taste impairment in head and neck cancer patients: Evaluating the taste bud bearing tongue mucosa as a predictor

Neh, H., de Vette, S. P. M., Stoffers, R. H., Zhou, G., van Ooijen, P. M. A., Sijtsema, N. M., Brouwer, C. L., Langendijk, J. A. & van Dijk, L. V., apr.-2025, In: Radiotherapy and Oncology. 205, 7 blz., 110746.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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30 Downloads (Pure)

PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer

Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Ooijen, P. M. A. V., Both, S. & Sijtsema, N. M., jun.-2025, In: Radiotherapy and Oncology. 207, 7 blz., 110852.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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27 Downloads (Pure)

Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort

Hamelink, I., van Tuinen, M., Kwee, T. C., van Ooijen, P. M. A. & Vliegenthart, R., jul.-2025, In: European Radiology. 35, blz. 3833–3841 9 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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12 Downloads (Pure)

The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients

Ma, B., De Biase, A., Guo, J., van Dijk, L. V., Langendijk, J. A., Both, S., van Ooijen, P. M. A. & Sijtsema, N. M., jan.-2025, In: Physics and imaging in radiation oncology. 33, 8 blz., 100733.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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20 Downloads (Pure)

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

Chu, H., de Vette, S. P. M., Neh, H., Sijtsema, N. M., Steenbakkers, R. J. H. M., Moreno, A., Langendijk, J. A., van Ooijen, P. M. A., Fuller, C. D. & van Dijk, L. V., 1-jan.-2025, In: International Journal of Radiation Oncology, Biology, Physics. 121, 1, blz. 269-280 12 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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2 Citaten (Scopus)

99 Downloads (Pure)

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort

De Biase, A., Sijtsema, N. M., van Dijk, L. V., Steenbakkers, R., Langendijk, J. A. & van Ooijen, P., jul.-2025, In: Computerized medical imaging and graphics. 123, 10 blz., 102535.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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9 Downloads (Pure)

2024

2562: AI-enhanced proton radiography: deep learning for assessing treatment deviations in proton therapy

Perotti Bernardini, G., Guterres Marmitt, G., Galapon, A., van Ooijen, P., Lagendijk, J. A. & Both, S., 5-mei-2024, blz. S3934-S3939. 6 blz.

Onderzoeksoutput › Academic

A comparative study of federated learning methods for COVID-19 detection

Darzi, E., Sijtsema, N. M. & van Ooijen, P. M. A., 16-feb.-2024, In: Scientific Reports. 14, 11 blz., 3944.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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12 Citaten (Scopus)

102 Downloads (Pure)

A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist

van Kooten, M., Tan, C. O., Hofmeijer, E. I. S., van Ooijen, P., Noordzij, W., Lamers, M., Kwee, T., Vliegenthart, R. & Yakar, D., 2024, In: Insights into Imaging. 15, 1, 14 blz., 15.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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16 Citaten (Scopus)

118 Downloads (Pure)

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Stogiannos, N., Gillan, C., Precht, H., Reis, C. S. D., Kumar, A., O'Regan, T., Ellis, V., Barnes, A., Meades, R., Pogose, M., Greggio, J., Scurr, E., Kumar, S., King, G., Rosewarne, D., Jones, C., van Leeuwen, K. G., Hyde, E., Beardmore, C. & Alliende, J. G. & 29 anderen, El-Farra, S., Papathanasiou, S., Beger, J., Nash, J., van Ooijen, P., Zelenyanszki, C., Koch, B., Langmack, K. A., Tucker, R., Goh, V., Turmezei, T., Lip, G., Reyes-Aldasoro, C. C., Alonso, E., Dean, G., Hirani, S. P., Torre, S., Akudjedu, T. N., Ohene-Botwe, B., Khine, R., O'Sullivan, C., Kyratsis, Y., McEntee, M., Wheatstone, P., Thackray, Y., Cairns, J., Jerome, D., Scarsbrook, A. & Malamateniou, C., dec.-2024, In: Journal of medical imaging and radiation sciences. 55, 4, 8 blz., 101717.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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7 Citaten (Scopus)

57 Downloads (Pure)

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability

Jing, X., Wielema, M., Monroy-Gonzalez, A. G., Stams, T. R. G., Mahesh, S. V. K., Oudkerk, M., Sijens, P. E., Dorrius, M. D. & van Ooijen, P. M. A., jul.-2024, In: Journal of Magnetic Resonance Imaging. 60, 1, blz. 80-91 12 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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4 Citaten (Scopus)

73 Downloads (Pure)

Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review

Tang, W., van Ooijen, P. M. A., Sival, D. A. & Maurits, N. M., okt.-2024, In: Artificial Intelligence in Medicine. 156, 16 blz., 102952.

Onderzoeksoutput › peer review

Open Access

Bestand

4 Citaten (Scopus)

117 Downloads (Pure)

Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategies

Biase, A. D., Sijtsema, N. M., Janssen, T., Hurkmans, C., Brouwer, C. & van Ooijen, P., jan.-2024, In: BJR|Artificial Intelligence. 1, 1, 14 blz., ubae015.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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16 Downloads (Pure)

Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT (European Radiology Experimental, (2024), 8, 1, (63), 10.1186/s41747-024-00459-9)

Sourlos, N., Pelgrim, G. J., Wisselink, H. J., Yang, X., de Jonge, G., Rook, M., Prokop, M., Sidorenkov, G., van Tuinen, M., Vliegenthart, R. & van Ooijen, P. M. A., 16-aug.-2024, In: European Radiology Experimental. 8, 1, 1 blz., 94.

Onderzoeksoutput

Open Access

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82 Downloads (Pure)

CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies

Gitto, S., Cuocolo, R., Huisman, M., Messina, C., Albano, D., Omoumi, P., Kotter, E., Maas, M., Van Ooijen, P. & Sconfienza, L. M., 2024, In: Insights into Imaging. 15, 1, 16 blz., 54.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

11 Citaten (Scopus)

53 Downloads (Pure)

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

De Biase, A., Ma, B., Guo, J., van Dijk, L. V., Langendijk, J. A., Both, S., van Ooijen, P. M. A. & Sijtsema, N. M., feb.-2024, In: Computer Methods and Programs in Biomedicine. 244, 10 blz., 107939.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

13 Citaten (Scopus)

125 Downloads (Pure)

Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT

Sourlos, N., Pelgrim, G., Wisselink, H. J., Yang, X., de Jonge, G., Rook, M., Prokop, M., Sidorenkov, G., van Tuinen, M., Vliegenthart, R. & van Ooijen, P. M. A., 20-mei-2024, In: European Radiology Experimental. 8, 11 blz., 63.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

105 Downloads (Pure)

Enhancing medical education with serious gaming

Wisselink, H. J., El-Baz, N. & van Ooijen, P., 11-okt.-2024.

Onderzoeksoutput › Professional

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

Wang, J., Sourlos, N., Heuvelmans, M., Prokop, M., Vliegenthart, R. & van Ooijen, P., feb.-2024, In: Computers in biology and medicine. 169, 10 blz., 107871.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

3 Citaten (Scopus)

114 Downloads (Pure)

Exploring Adversarial Attacks in Federated Learning for Medical Imaging

Darzi, E., Dubost, F., Sijtsema, N. M. & Van Ooijen, P. M. A., dec.-2024, In: Ieee transactions on industrial informatics. 20, 12, blz. 13591-13599 9 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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5 Citaten (Scopus)

24 Downloads (Pure)

External validation of the SORG machine learning for 90-day and 1-year mortality in patients suffering from extremity metastatic disease in an European cohort of 174 patients

Machine Learning Consortium, de Groot, T. M., Sommerkamp, A. A., Thio, Q. C. B. S., Karhade, A. V., Groot, O. Q., Oosterhof, J. H. F., Ijpma, F. F. A., van Ooijen, P., Ploegmakers, J. J. W., Jutte, P. C., Schwab, J. H., Doornberg, J. N., Barvelink, B., Beuker, B., Bultra, A. E., Oliviera E Carmo, L., Colaris, J., Duckworth, A. & Ten Duis, K. & 31 anderen, Gordon, M., Harbers, J., Hendrickx, R., Heng, M., Hoeksema, S., Hogervorst, M., Jadav, B., Jiang, J., Kerkhoffs, G., Kuipers, J., Laane, C., Langerhuizen, D., Lubberts, B., Mallee, W., Mhmud, H., El Moumni, M., Nieboer, P., Oude Nijhuis, K., Olczak, J., van Ooijen, P., Rawat, J., Ring, D., Schilstra, S., Sprague, S., Stufkens, S., Tijdens, E., van der Vet, P., de Vries, J.-P., Wendt, K., Wijffels, M. & Worsley, D., sep.-2024, In: Acta orthopaedica belgica. 90, 3, blz. 493-501 9 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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37 Downloads (Pure)

Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks

Jing, X., Dorrius, M. D., Zheng, S., Wielema, M., Oudkerk, M., Sijens, P. E. & van Ooijen, P. M. A., mrt.-2024, In: European Radiology. 34, blz. 2084–2092 9 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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4 Citaten (Scopus)

61 Downloads (Pure)

Masked conditional variational autoencoders for chromosome straightening

Li, J., Zheng, S., Shui, Z., Zhang, S., Yang, L., Sun, Y., Zhang, Y., Li, H., Ye, Y., Van Ooijen, P. M. A., Li, K. & Yang, L., jan.-2024, In: Ieee transactions on medical imaging. 43, 1, blz. 216-228 13 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

2 Citaten (Scopus)

69 Downloads (Pure)

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Kocak, B., Akinci D'Antonoli, T., Mercaldo, N., Alberich-Bayarri, A., Baessler, B., Ambrosini, I., Andreychenko, A. E., Bakas, S., Beets-Tan, R. G. H., Bressem, K., Buvat, I., Cannella, R., Cappellini, L. A., Cavallo, A. U., Chepelev, L. L., Chu, L. C. H., Demircioglu, A., deSouza, N. M., Dietzel, M. & Fanni, S. C. & 40 anderen, Fedorov, A., Fournier, L. S., Giannini, V., Girometti, R., Groot Lipman, K. B. W., Kalarakis, G., Kelly, B. S., Klontzas, M. E., Koh, D.-M., Kotter, E., Lee, H. Y., Maas, M., Marti-Bonmati, L., Müller, H., Obuchowski, N., Orlhac, F., Papanikolaou, N., Petrash, E., Pfaehler, E., Pinto Dos Santos, D., Ponsiglione, A., Sabater, S., Sardanelli, F., Seeböck, P., Sijtsema, N. M., Stanzione, A., Traverso, A., Ugga, L., Vallières, M., van Dijk, L. V., van Griethuysen, J. J. M., van Hamersvelt, R. W., van Ooijen, P., Vernuccio, F., Wang, A., Williams, S., Witowski, J., Zhang, Z., Zwanenburg, A. & Cuocolo, R., 2024, In: Insights into Imaging. 15, 1, 18 blz., 8.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

135 Citaten (Scopus)

106 Downloads (Pure)

MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble

Mol, F. N., van der Hoek, L., Ma, B., Nagam, B. C., Sijtsema, N. M., van Dijk, L. V., Bunte, K., Vlijm, R. & van Ooijen, P. M. A., 9-dec.-2024, (Submitted) arXiv, 14 blz.

Onderzoeksoutput: Voordruk › Academic

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37 Downloads (Pure)

PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer

Ma, B., Guo, J., De Biase, A., van Dijk, L. V., van Ooijen, P. M. A., Langendijk, J. A., Both, S. & Sijtsema, N. M., aug.-2024, In: Radiotherapy and Oncology. 197, 7 blz., 110368.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

7 Citaten (Scopus)

155 Downloads (Pure)

Predicting late taste loss with deep learning NTCP model using 3D dose, CT and OAR segmentations

Neh, H., Rozema-de Vette, S., Chu, H., Sijtsema, N. M., van Ooijen, P., Langendijk, J. A. & van Dijk, L. V., 2024.

Onderzoeksoutput › Academic

Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test

Biase, A. D., Ziegfeld, L., Sijtsema, N. M., Steenbakkers, R., Wijsman, R., Dijk, L. V. V., Langendijk, J. A., Cnossen, F. & Ooijen, P. V., jul.-2024, In: Computers in biology and medicine. 177, 7 blz., 108675.

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

2 Citaten (Scopus)

80 Downloads (Pure)

Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology

Sourlos, N., Vliegenthart, R., Santinha, J., Klontzas, M. E., Cuocolo, R., Huisman, M. & van Ooijen, P., dec.-2024, In: Insights into Imaging. 15, 12 blz., 248.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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3 Citaten (Scopus)

75 Downloads (Pure)

Reproducibility of radiomics quality score: an intra- and inter-rater reliability study

EuSoMII Radiomics Auditing Group, Akinci D'Antonoli, T., Cavallo, A. U., Vernuccio, F., Stanzione, A., Klontzas, M. E., Cannella, R., Ugga, L., Baran, A., Fanni, S. C., Petrash, E., Ambrosini, I., Cappellini, L. A., van Ooijen, P., Kotter, E., Pinto dos Santos, D. & Cuocolo, R., apr.-2024, In: European Radiology. 34, blz. 2791–2804 14 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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30 Citaten (Scopus)

71 Downloads (Pure)

Tackling heterogeneity in medical federated learning via aligning vision transformers

Darzi, E., Shen, Y., Ou, Y., Sijtsema, N. M. & van Ooijen, P. M. A., sep.-2024, In: Artificial Intelligence in Medicine. 155, 9 blz., 102936.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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1 Citaat (Scopus)

26 Downloads (Pure)

Uncertainty-Aware Deep Learning for Segmentation of Primary Tumour and Pathologic Lymph Nodes in Oropharyngeal Cancer: Insights from a Multi-Centre Cohort

De Biase, A., Sijtsema, N. M., van Dijk, L. V., Steenbakkers, R., Langendijk, J. A. & van Ooijen, P., 14-mrt.-2024, Research Square Company.

Onderzoeksoutput: Voordruk › Academic

Open Access

2023

Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks

Tang, W., Van Ooijen, P. M. A., Sival, D. A. & Maurits, N. M., nov.-2023, BHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 blz. (BHI 2023 - IEEE-EMBS International Conference on Biomedical and Health Informatics, Proceedings).

Onderzoeksoutput › Academic › peer review

Open Access

Bestand

1 Citaat (Scopus)

69 Downloads (Pure)

Comparison of computed tomography image features extracted by radiomics, self-supervised learning and end-to-end deep learning for outcome prediction of oropharyngeal cancer

Ma, B., Guo, J., Chu, H., van Dijk, L. V., van Ooijen, P. M. A., Langendijk, J. A., Both, S. & Sijtsema, N. M., okt.-2023, In: Physics and imaging in radiation oncology. 28, 8 blz., 100502.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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9 Citaten (Scopus)

206 Downloads (Pure)

CT-based deep multi-label learning prediction model for outcome in patients with oropharyngeal squamous cell carcinoma

Ma, B., Guo, J., Zhai, T. T., van der Schaaf, A., Steenbakkers, R. J. H. M., van Dijk, L. V., Both, S., Langendijk, J. A., Zhang, W., Qiu, B., van Ooijen, P. M. A. & Sijtsema, N. M., okt.-2023, In: Medical Physics. 50, 10, blz. 6190-6200 11 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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10 Citaten (Scopus)

115 Downloads (Pure)

Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images

De Biase, A., Sijtsema, N. M., van Dijk, L., Langendijk, J. A. & van Ooijen, P. M. A., 2023, In: Physics in Medicine and Biology. 68, 5

Onderzoeksoutput: Article › Academic › peer review

Open Access

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20 Citaten (Scopus)

136 Downloads (Pure)

Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients

Ma, B., Li, Y., Chu, H., Tang, W., De la O Arévalo, L. R., Guo, J., van Ooijen, P., Both, S., Langendijk, J. A., van Dijk, L. V. & Sijtsema, N. M., 18-mrt.-2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (uitgave). Springer Science and Business Media Deutschland GmbH, blz. 240-254 15 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).

Onderzoeksoutput › Academic › peer review

Open Access

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2 Citaten (Scopus)

168 Downloads (Pure)

Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images

Rumala, D. J., van Ooijen, P., Rachmadi, R. F., Sensusiati, A. D. & Purnama, I. K. E., aug.-2023, In: JOURNAL OF DIGITAL IMAGING. 36, blz. 1460–1479 20 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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5 Citaten (Scopus)

203 Downloads (Pure)

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

Machine Learning Consortium, Prijs, J., Liao, Z., To, M. S., Verjans, J., Jutte, P. C., Stirler, V., Olczak, J., Gordon, M., Guss, D., DiGiovanni, C. W., Jaarsma, R. L., IJpma, F. F. A. & Doornberg, J. N., 2023, In: European Journal of Trauma and Emergency Surgery. blz. 1057–1069 13 blz.

Onderzoeksoutput: Article › Academic › peer review

Open Access

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23 Citaten (Scopus)

154 Downloads (Pure)

Feature selection and prediction of resolving indeterminate lung nodules based on random forest

Wang, J., van der Velden, N. G., Pelgrim, G. J., Van Ooijen, P. M. A. & Vliegenthart, R., 21-dec.-2023, In: Insights into Imaging. 14, Supplement 4, blz. 35 1 blz., RPS 405-4.

Onderzoeksoutput › Academic

Open Access

Ovarian imaging radiomics quality score assessment: an EuSoMII radiomics auditing group initiative

Ponsiglione, A., Stanzione, A., Spadarella, G., Baran, A., Cappellini, L. A., Lipman, K. G., Van Ooijen, P. & Cuocolo, R., 2023, In: European Radiology. blz. 2239–2247

Onderzoeksoutput: Article › Academic › peer review

Open Access

Bestand

17 Citaten (Scopus)

102 Downloads (Pure)

P 322 AI-assisted proton radiography interpretation for fast detection and classification of treatment deviations

Perotti Bernardini, G., Guterres Marmitt, G., Seller Oria, C., Galapon, A., van Ooijen, P., Langendijk, J. A. & Both, S., 15-jun.-2023.

Onderzoeksoutput › Academic

Open Access

Prediction of radiation-induced taste loss with taste bud bearing tongue mucosa in head and neck cancer patients

Neh, H., Rozema-de Vette, S., Chu, H., Steenbakkers, R., van Ooijen, P., Sijtsema, N. M., Langendijk, J. A. & van Dijk, L. V., 2023.

Onderzoeksoutput › Academic

Peter van Ooijen

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