283 publications found

Publications

283 publications | 40236 citations
  • Lo P, van Ginneken B, Reinhardt JM, et al.. Extraction of Airways From CT (EXACT'09). IEEE Trans Med Imaging. 2012;31(11):2093-2107.
  • Xiao Y, Rivaz H, Chabanas M, et al.. Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans Med Imaging. 2020;39(3):777-786.
    curious2018
  • Murphy K, van Ginneken B, Reinhardt JM, et al.. Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans Med Imaging. 2011;30(11):1901-1920.
    EMPIRE10
  • Heimann T, van Ginneken B, Styner MA, et al.. Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans Med Imaging. 2009;28(8):1251-1265.
    SLIVER07
  • Bogunovic H, Venhuizen F, Klimscha S, et al.. RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans Med Imaging. 2019;38(8):1858-1874.
    RETOUCH
  • van Ginneken B, Jacobs C. LUNA16 Part 2/2. Published online March 17, 2019.
  • CADA Challenge Organizers. CADA Test Dataset, original image data. Published online August 4, 2020.
  • CADA Challenge Organizers. CADA Test Dataset Addon for Task 3: Vessel and Aneurysm Masks/Geometries. Published online August 29, 2020.
  • CADA Challenge Organizers. CADA Training Dataset, Part 2 (Add-On for Task 3). Published online August 26, 2020.
  • Hering A, Murphy K, van Ginneken B. Learn2Reg Challenge: CT Lung Registration - Training Data. Published online May 20, 2020.
    Learn2Reg
  • CADA Challenge Organizers. CADA Test Dataset addon for task 2 (segmentation): Aneurysm seed points. Published online August 22, 2020.
  • CADA Challenge Organizers. CADA Training Dataset, image and geometry data. Published online July 24, 2020.
  • Francesco Ciompi, Yiping Jiao, Jeroen van der Laak. Lymphocyte Assessment Hackathon (LYSTO). Published online October 4, 2019.
  • van Ginneken B, Jacobs C. LUNA16 Part 1/2. Published online March 16, 2019.
  • Polónia A, Eloy C, Aguiar P. BACH Dataset : Grand Challenge on Breast Cancer Histology images. Published online May 31, 2019.
  • Swiderska-Chadaj Z, Ciompi F. LYON19- Lymphocyte Detection Test Set. Published online September 4, 2019.
  • van Ginneken B. SLIVER07. Published online March 17, 2019.
  • van Ginneken B. ANODE09. Published online December 30, 2019.
  • Heuvel TLAVD, Bruijn DD, Korte CLD, Ginneken BV. Automated measurement of fetal head circumference using 2D ultrasound images. Published online July 27, 2018.
  • Meakin J, Gerke PK, Kerkstra S, et al.. Grand-Challenge.org. Zenodo; 2025.
  • Hartman DJ, Van Der Laak JAWM, Gurcan MN, Pantanowitz L. Value of Public Challenges for the Development of Pathology Deep Learning Algorithms. Journal of Pathology Informatics. 2020;11(1):7.
  • Orlando JI, Fu H, Barbosa Breda J, et al.. REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis. 2020;59:101570.
  • Sirinukunwattana K, Pluim JPW, Chen H, et al.. Gland segmentation in colon histology images: The glas challenge contest. Medical Image Analysis. 2017;35:489-502.
  • Wolterink JM, Leiner T, de Vos BD, et al.. An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Med Phys. 2016;43(5):2361-2373.
    orCaScore
  • Borovec J, Munoz-Barrutia A, Kybic J. Benchmarking of Image Registration Methods for Differently Stained Histological Slides. 2018 25th IEEE International Conference on Image Processing (ICIP). Published online October 2018:3368-3372.
  • Porwal P, Pachade S, Kokare M, et al.. IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge. Medical Image Analysis. 2020;59:101561.
    IDRiD
  • Aresta G, Araújo T, Kwok S, et al.. BACH: Grand challenge on breast cancer histology images. Medical Image Analysis. 2019;56:122-139.
    ICIAR2018-Challenge
  • Al Hajj H, Lamard M, Conze P-H, et al.. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery. Medical Image Analysis. 2019;52:24-41.
    CATARACTS
  • Setio AAA, Traverso A, de Bel T, et al.. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Analysis. 2017;42:1-13.
    LUNA16 LUNA16
  • Litjens G, Toth R, van de Ven W, et al.. Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Analysis. 2014;18(2):359-373.
    PROMISE12
  • Bron EE, Smits M, van der Flier WM, et al.. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage. 2015;111:562-579.
    CADDementia
  • van Ginneken B, Armato SG III, de Hoop B, et al.. Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. Medical Image Analysis. 2010;14(6):707-722.
    ANODE09
  • Rudyanto RD, Kerkstra S, van Rikxoort EM, et al.. Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Analysis. 2014;18(7):1217-1232.
    VESSEL12