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2020 – today
- 2024
[j42]Erfan Darzi
, Yiqing Shen, Yangming Ou, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Tackling heterogeneity in medical federated learning via aligning vision transformers. Artif. Intell. Medicine 155: 102936 (2024)- [j41]Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, Natasha M. Maurits:
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review. Artif. Intell. Medicine 156: 102952 (2024) - [j40]Jingxuan Wang, Nikos Sourlos, Marjolein Heuvelmans, Mathias Prokop, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules. Comput. Biol. Medicine 169: 107871 (2024) - [j39]Alessia De Biase, Liv Ziegfeld, Nanna Maria Sijtsema, Roel Steenbakkers, Robin Wijsman, Lisanne van Dijk, Johannes A. Langendijk, Fokie Cnossen, Peter M. A. van Ooijen:
Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test. Comput. Biol. Medicine 177: 108675 (2024) - [j38]Alessia De Biase, Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Johannes A. Langendijk, Stefan Both, Peter M. A. van Ooijen, Nanna Maria Sijtsema:
Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer. Comput. Methods Programs Biomed. 244: 107939 (2024) - [j37]Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Exploring Adversarial Attacks in Federated Learning for Medical Imaging. IEEE Trans. Ind. Informatics 20(12): 13591-13599 (2024) - [j36]Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang:
Masked Conditional Variational Autoencoders for Chromosome Straightening. IEEE Trans. Medical Imaging 43(1): 216-228 (2024) - 2023
- [j35]Dewinda Julianensi Rumala, Peter M. A. van Ooijen, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama:
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images. J. Digit. Imaging 36(4): 1460-1479 (2023) - [c13]Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, Natasha M. Maurits:
Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks. BHI 2023: 1-4 - [c12]Baoqiang Ma, Jiapan Guo, Lisanne van Dijk, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer. MIDL 2023: 1640-1654 - [i12]Erfan Darzidehkalani, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
A Comparative Study of Federated Learning Models for COVID-19 Detection. CoRR abs/2303.16141 (2023) - [i11]Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang:
Masked conditional variational autoencoders for chromosome straightening. CoRR abs/2306.14129 (2023) - [i10]Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Exploring adversarial attacks in federated learning for medical imaging. CoRR abs/2310.06227 (2023) - [i9]Erfan Darzi, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks. CoRR abs/2310.08681 (2023) - [i8]Erfan Darzi, Yiqing Shen, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Tackling Heterogeneity in Medical Federated learning via Vision Transformers. CoRR abs/2310.09444 (2023) - [i7]Erfan Darzi, Florian Dubost, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
The Hidden Adversarial Vulnerabilities of Medical Federated Learning. CoRR abs/2310.13893 (2023) - 2022
- [j34]Tri Arief Sardjono, Peter M. A. van Ooijen, I. Ketut Eddy Purnama, Berlian Al Kindhi, Ardian Yusuf Wicaksono, Eko M. Yuniarno, Gijbertus Jacob Verkerke, Mauridhi Hery Purnomo, Michael H. F. Wilkinson:
Spring-Charged Particles Model to Improved Shape Recovery: An Application for X-Ray Spinal Segmentation. IEEE Access 10: 110323-110334 (2022) - [j33]Allard W. Olthof, Peter M. A. van Ooijen, Ludo J. Cornelissen:
The natural language processing of radiology requests and reports of chest imaging: Comparing five transformer models' multilabel classification and a proof-of-concept study. Health Informatics J. 28(4): 146045822211311 (2022) - [j32]L. B. van den Oever, W. A. van Veldhuizen, Ludo J. Cornelissen, D. S. Spoor, Tineke P. Willems, G. Kramer, T. Stigter, Mieneke Rook, A. P. G. Crijns, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms. J. Digit. Imaging 35(2): 240-247 (2022) - [j31]Yeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, Jiali Cai, Sunil Belur Nagaraj, Grigory Sidorenkov, Raymond N. J. Veldhuis, Matthijs Oudkerk, Rozemarijn Vliegenthart, Peter M. A. van Ooijen:
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation. J. Digit. Imaging 35(3): 538-550 (2022) - [j30]L. B. van den Oever, D. S. Spoor, A. P. G. Crijns, Rozemarijn Vliegenthart, Matthijs Oudkerk, Raymond N. J. Veldhuis, Geertruida H. de Bock, Peter M. A. van Ooijen:
Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. J. Medical Syst. 46(5): 22 (2022) - [j29]Lingyun Yu, Joost Ouwerling, Pjotr Svetachov, Frans h. j. van Hoesel, Peter M. A. van Ooijen, Jirí Kosinka:
VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training. J. Vis. 25(2): 293-306 (2022) - [j28]Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, Natasha M. Maurits:
2D Gait Skeleton Data Normalization for Quantitative Assessment of Movement Disorders from Freehand Single Camera Video Recordings. Sensors 22(11): 4245 (2022) - [c11]Hung Chu, Luis Ricardo De la O. Arévalo, Wei Tang, Baoqiang Ma, Yan Li, Alessia De Biase, Stefan Both, Johannes A. Langendijk, Peter M. A. van Ooijen, Nanna Maria Sijtsema, Lisanne van Dijk:
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach. HECKTOR@MICCAI 2022: 114-120 - [c10]Baoqiang Ma, Yan Li, Hung Chu, Wei Tang, Luis Ricardo De la O. Arévalo, Jiapan Guo, Peter M. A. van Ooijen, Stefan Both, Johannes A. Langendijk, Lisanne van Dijk, Nanna Maria Sijtsema:
Deep Learning and Radiomics Based PET/CT Image Feature Extraction from Auto Segmented Tumor Volumes for Recurrence-Free Survival Prediction in Oropharyngeal Cancer Patients. HECKTOR@MICCAI 2022: 240-254 - [i6]Peter M. A. van Ooijen, Erfan Darzidehkalani, Andre Dekker:
AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline. CoRR abs/2201.08356 (2022) - [i5]Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk, Johannes A. Langendijk, Peter M. A. van Ooijen:
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images. CoRR abs/2207.01623 (2022) - 2021
- [j27]Peter A. J. Pijpker, Tim S. Oosterhuis, Max J. H. Witjes, Chris Faber, Peter M. A. van Ooijen, Jirí Kosinka, Jos M. A. Kuijlen, Rob J. M. Groen, Joep Kraeima:
A semi-automatic seed point-based method for separation of individual vertebrae in 3D surface meshes: a proof of principle study. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1447-1457 (2021) - [j26]Allard W. Olthof, P. Shouche, E. M. Fennema, F. F. A. IJpma, R. H. C. Koolstra, V. M. A. Stirler, Peter M. A. van Ooijen, Ludo J. Cornelissen:
Machine learning based natural language processing of radiology reports in orthopaedic trauma. Comput. Methods Programs Biomed. 208: 106304 (2021) - [j25]Allard W. Olthof, Peter M. A. van Ooijen, Ludo J. Cornelissen:
Deep Learning-Based Natural Language Processing in Radiology: The Impact of Report Complexity, Disease Prevalence, Dataset Size, and Algorithm Type on Model Performance. J. Medical Syst. 45(10): 91 (2021) - [c9]Alessia De Biase, Wei Tang, Nikos Sourlos, Baoqiang Ma, Jiapan Guo, Nanna Maria Sijtsema, Peter M. A. van Ooijen:
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images. HECKTOR@MICCAI 2021: 109-120 - [c8]Baoqiang Ma, Jiapan Guo, Alessia De Biase, Nikos Sourlos, Wei Tang, Peter M. A. van Ooijen, Stefan Both, Nanna Maria Sijtsema:
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 308-317 - 2020
- [j24]I. Made Gede Sunarya, Eko Mulyanto Yuniarno, Tri Arief Sardjono, Ismoyo Sunu, Peter M. A. van Ooijen, I. Ketut Eddy Purnama:
3D reconstruction of carotid artery in B-mode ultrasound image using modified template matching based on ellipse feature. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(3): 301-312 (2020) - [j23]Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N. J. Veldhuis, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M. A. van Ooijen:
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput. Methods Programs Biomed. 196: 105620 (2020) - [j22]Jordy K. van Zandwijk, Volkan Tuncay, Rozemarijn Vliegenthart, Gert Jan Pelgrim, Cornelis H. Slump, Matthijs Oudkerk, Peter M. A. van Ooijen:
Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography. J. Digit. Imaging 33(2): 480-489 (2020) - [j21]Volkan Tuncay, Jan Zijlstra, Matthijs Oudkerk, Peter M. A. van Ooijen:
Design, Implementation, and Validation of a Pulsatile Heart Phantom Pump. J. Digit. Imaging 33(5): 1301-1305 (2020) - [j20]Allard W. Olthof, Anne L. M. Leusveld, Jan Cees de Groot, Petra M. C. Callenbach, Peter M. A. van Ooijen:
Contextual Structured Reporting in Radiology: Implementation and Long-Term Evaluation in Improving the Communication of Critical Findings. J. Medical Syst. 44(9): 148 (2020) - [j19]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. IEEE Trans. Medical Imaging 39(3): 797-805 (2020) - [i4]Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. CoRR abs/2001.04537 (2020) - [i3]Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Haye H. Glas, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen:
Recurrent convolutional neural networks for mandible segmentation from computed tomography. CoRR abs/2003.06486 (2020)
2010 – 2019
- 2019
- [i2]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. CoRR abs/1904.05956 (2019) - 2018
- [c7]Lorenzo Amabili, Jirí Kosinka, Maarten A. J. van Meersbergen, Peter M. A. van Ooijen, Jos B. T. M. Roerdink, Pjotr Svetachov, Lingyun Yu:
Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration. EuroVis (Short Papers) 2018: 43-47 - [i1]Bingjiang Qiu, Jiapan Guo, Joep Kraeima, Ronald J. H. Borra, Max J. H. Witjes, Peter M. A. van Ooijen:
3D segmentation of mandible from multisectional CT scans by convolutional neural networks. CoRR abs/1809.06752 (2018) - 2016
- [j18]Wiard Jorritsma, Fokie Cnossen, Rudi A. Dierckx, Matthijs Oudkerk, Peter M. A. van Ooijen:
Post-deployment usability evaluation of a radiology workstation. Int. J. Medical Informatics 85(1): 28-35 (2016) - [j17]Wiard Jorritsma, Fokie Cnossen, Rudi A. Dierckx, Matthijs Oudkerk, Peter M. A. van Ooijen:
Pattern mining of user interaction logs for a post-deployment usability evaluation of a radiology PACS client. Int. J. Medical Informatics 85(1): 36-42 (2016) - [j16]Erik R. Ranschaert, Peter M. A. van Ooijen, Geraldine B. McGinty, Paul M. Parizel:
Radiologists' Usage of Social Media: Results of the RANSOM Survey. J. Digit. Imaging 29(4): 443-449 (2016) - [j15]K. Y. E. Aryanto, G. van Kernebeek, B. Berendsen, Matthijs Oudkerk, Peter M. A. van Ooijen:
Image De-Identification Methods for Clinical Research in the XDS Environment. J. Medical Syst. 40(4): 83:1-83:8 (2016) - [j14]Allard W. Olthof, Peter M. A. van Ooijen:
Implementation and Validation of PACS Integrated Peer Review for Discrepancy Recording of Radiology Reporting. J. Medical Syst. 40(9): 193:1-193:9 (2016) - 2015
- [j13]Peter M. A. van Ooijen, Kadek Yota E. Aryanto, André Broekema, Steven C. Horii:
DICOM data migration for PACS transition: procedure and pitfalls. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1055-1064 (2015) - [j12]Wiard Jorritsma, Jonatan T. Prins, Peter M. A. van Ooijen:
Comparing Four Touch-Based Interaction Techniques for an Image-Based Audience Response System. Int. J. Hum. Comput. Interact. 31(6): 440-450 (2015) - [j11]Wiard Jorritsma, Fokie Cnossen, Peter M. A. van Ooijen:
Adaptive support for user interface customization: a study in radiology. Int. J. Hum. Comput. Stud. 77: 1-9 (2015) - [j10]K. Y. E. Aryanto, A. Broekema, R. G. A. Langenhuysen, Matthijs Oudkerk, Peter M. A. van Ooijen:
A Web-Based Institutional DICOM Distribution System with the Integration of the Clinical Trial Processor (CTP). J. Medical Syst. 39(5): 45 (2015) - 2014
- [j9]Wiard Jorritsma, Fokie Cnossen, Peter M. A. van Ooijen:
Merits of usability testing for PACS selection. Int. J. Medical Informatics 83(1): 27-36 (2014) - 2011
- [j8]Peter M. A. van Ooijen, A. Broekema, Matthijs Oudkerk:
Design and implementation of I2Vote - An interactive image-based voting system using windows mobile devices. Int. J. Medical Informatics 80(8): 562-569 (2011) - [j7]Rogier van de Wetering, Ronald Batenburg, Matthijs Oudkerk, Peter M. A. van Ooijen, Sjaak Brinkkemper, Wim Scheper:
A Situational Alignment Framework for PACS. J. Digit. Imaging 24(6): 979-992 (2011) - 2010
- [j6]Peter M. A. van Ooijen, A. R. Viddeleer, Floris Meijer, Matthijs Oudkerk:
Accessibility of Data Backup on CD-R after 8 to 11 years. J. Digit. Imaging 23(1): 95-99 (2010)
2000 – 2009
- 2008
- [j5]Peter M. A. van Ooijen, A. Broekema, Matthijs Oudkerk:
Use of a Thin-Section Archive and Enterprise 3-Dimensional Software for Long-Term Storage of Thin-Slice CT Data Sets - A Reviewers' Response. J. Digit. Imaging 21(2): 188-192 (2008) - 2007
- [j4]W. Kristanto, Peter M. A. van Ooijen, Bertram The, H. Duifhuis, Tati Rajab Mengko, Matthijs Oudkerk:
Design and Implementation of Gradient Vector Flow Snake to Detect a Reference Object in Pelvic X-Rays for Preoperative Total Hip Arthroplasty Planning Application. J. Digit. Imaging 20(4): 373-380 (2007) - [c6]I. Ketut E. Purnama, Michael H. F. Wilkinson, Albert G. Veldhuizen, Peter M. A. van Ooijen, Jaap Lubbers, Tri Arief Sardjono, Gijbertus Jacob Verkerke:
Branches filtering approach for max-tree. VISAPP (1) 2007: 328-332 - 2006
- [j3]Peter M. A. van Ooijen, Allya P. Koesoema, Matthijs Oudkerk:
User Questionnaire to Evaluate the Radiological Workspace. J. Digit. Imaging 19(S-1): 52-59 (2006) - [j2]Peter M. A. van Ooijen, R. Roosjen, M. J. de Blecourt, R. van Dam, A. Broekema, Matthijs Oudkerk:
Evaluation of the Use of CD-ROM Upload into the PACS or Institutional Web Server. J. Digit. Imaging 19(S-1): 72-77 (2006) - 2005
- [j1]Peter M. A. van Ooijen, J. Guignot, G. Mevel, Matthijs Oudkerk:
Incorporating Out-Patient Data From CD-R Into the Local PACS Using DICOM Worklist Features. J. Digit. Imaging 18(3): 196-202 (2005) - 2003
- [c5]Roy Irwan, Peter M. A. van Ooijen, W. G. J. Tukker, Matthijs Oudkerk:
The influence of beam-pitch, reconstruction slice-thickness, and kernels on 3D-visualisation of 16-MSCT data. CARS 2003: 6-12 - [c4]Peter M. A. van Ooijen, R. Witkamp, Matthijs Oudkerk:
Multi-Detector CT and 3D imaging in a multi-vendor PACS environment. CARS 2003: 860-865 - 2001
- [c3]Peter M. A. van Ooijen, Arie Munne, Marco T. C. Hoedt, Matthijs Oudkerk:
Three-dimensional volume rendered CT for preparation and evaluation of endovascular treatment of popliteal aneurysms. CARS 2001: 475-482 - 2000
- [c2]Peter M. A. van Ooijen, A. H. H. Bongaertz, Matthijs Oudkerk:
Everything On-Line (EOL) PACS: A new concept in PACS. EuroPACS 2000: 77-83
1990 – 1999
- 1996
- [c1]Karel J. Zuiderveld, Peter M. A. van Ooijen, John W. C. Chin-A-Woeng, Pieter C. Buijs, Marco Olree, Frits H. Post:
Clinical Evaluation of Interactive Volume Visualization. IEEE Visualization 1996: 367-370
Coauthor Index
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