Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. - Colin Jacobs; Eva M. van Rikxoort; Thorsten Twellmann; Ernst Th. Scholten; Pim A. de Jong; Jan-Martin Kuhnigk; Matthijs Oudkerk; Harry J. de Koning; Mathias Prokop; Cornelia Schaefer-Prokop; Bram van Ginneken (Medical Image Anal., 2014)

SubSolid Nodules in lung cancer screening. - Ernst Th. Scholten (2014)

Automatic detection of spiculation of pulmonary nodules in computed tomography images. - Francesco Ciompi; Colin Jacobs; Ernst Th. Scholten; Sarah J. van Riel; Mathilde M. W. Wille; Mathias Prokop; Bram van Ginneken (Computer-Aided Diagnosis, 2015)

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box. - Francesco Ciompi; Bartjan de Hoop; Sarah J. van Riel; Kaman Chung; Ernst Th. Scholten; Matthijs Oudkerk; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (Medical Image Anal., 2015)

Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. - Francesco Ciompi; Colin Jacobs; Ernst Th. Scholten; Mathilde M. W. Wille; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (IEEE Trans. Medical Imaging, 2015)

Towards automatic pulmonary nodule management in lung cancer screening with deep learning. - Francesco Ciompi; Kaman Chung; Sarah J. van Riel; Arnaud Arindra Adiyoso Setio; Paul K. Gerke; Colin Jacobs; Ernst Th. Scholten; Cornelia Schaefer-Prokop; Mathilde M. W. Wille; Alfonso Marchiano; Ugo Pastorino; Mathias Prokop; et al. (CoRR, 2016)

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge. - Arnaud Arindra Adiyoso Setio; Alberto Traverso; Thomas de Bel; Moira S. N. Berens; Cas van den Bogaard; Piergiorgio Cerello; Hao Chen 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (CoRR, 2016)

Automatic detection of pleural effusion in chest radiographs. - Pragnya Maduskar; Rick H. H. M. Philipsen; Jaime Melendez; Ernst Th. Scholten; Duncan Chanda; Helen Ayles; Clara I. Sánchez; Bram van Ginneken (Medical Image Anal., 2016)

Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching. - Jean-Paul Charbonnier; Monique Brink; Francesco Ciompi; Ernst Th. Scholten; Cornelia Schaefer-Prokop; Eva M. van Rikxoort (IEEE Trans. Medical Imaging, 2016)

Handling label noise through model confidence and uncertainty: application to chest radiograph classification. - Erdi Calli; Ecem Sogancioglu; Ernst Th. Scholten; Keelin Murphy; Bram van Ginneken (Computer-Aided Diagnosis, 2019)

Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. - Keelin Murphy; Shifa Salman Habib; Syed Mohammad Asad Zaidi; Saira Khowaja; Aamir Khan; Jaime Melendez; Ernst Th. Scholten; Farhan Amad; Steven Schalekamp; Maurits Verhagen; Rick H. H. M. Philipsen; Annet Meijers; et al. (CoRR, 2019)

Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification. - Ecem Sogancioglu; Keelin Murphy; Erdi Calli; Ernst Th. Scholten; Steven Schalekamp; Bram van Ginneken (IEEE Access, 2020)

Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning. - Ecem Sogancioglu; Keelin Murphy; Ernst Th. Scholten; Luuk H. Boulogne; Mathias Prokop; Bram van Ginneken (CoRR, 2021)

Kidney abnormality segmentation in thorax-abdomen CT scans. - Gabriel Efrain Humpire Mamani; Nikolas Lessmann; Ernst Th. Scholten; Mathias Prokop; Colin Jacobs; Bram van Ginneken (CoRR, 2023)

Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans. - Gabriel Efrain Humpire Mamani; Luc Builtjes; Colin Jacobs; Bram van Ginneken; Mathias Prokop; Ernst Th. Scholten (Zenodo, 2023)

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. - Ecem Sogancioglu; Bram van Ginneken; Finn Behrendt; Marcel Bengs; Alexander Schlaefer; Miron Radu; Di Xu; Ke Sheng; Fabien Scalzo; Eric Marcus; Samuele Papa; Jonas Teuwen; et al. (IEEE Trans. Medical Imaging, 2024)

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection. - Dre Peeters; Kiran Vaidhya Venkadesh; Renate Dinnessen; Zaigham Saghir; Ernst Th. Scholten; Rozemarijn Vliegenthart; Mathias Prokop; Colin Jacobs (Comput. Biol. Medicine, 2025)

The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography. - M. J. J. de Grauw; Ernst Th. Scholten; Ewoud J. Smit; M. J. C. M. Rutten; Mathias Prokop; Bram van Ginneken; Alessa Hering (Medical Image Anal., 2025)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)