Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. - Colin Jacobs; Clara I. Sánchez; Stefan C. Saur; Thorsten Twellmann; Pim A. de Jong; Bram van Ginneken (MICCAI (3), 2011)

Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis. - Colin Jacobs; S. H. T. T. Opdam; Eva M. van Rikxoort; O. M. Mets; J. Rooyackers; Pim A. de Jong; Mathias Prokop; Bram van Ginneken (Computer-Aided Diagnosis, 2014)

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)

Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. - Bram van Ginneken; Arnaud A. A. Setio; Colin Jacobs; Francesco Ciompi (ISBI, 2015)

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)

Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model. - Arnaud A. A. Setio; Colin Jacobs; Francesco Ciompi; Sarah J. van Riel; Mathilde Marie Winkler Wille; Asger Dirksen; Eva M. van Rikxoort; Bram van Ginneken (Computer-Aided Diagnosis, 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)

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. - Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Geert Litjens 001; Paul K. Gerke; Colin Jacobs; Sarah J. van Riel; Mathilde Marie Winkler Wille; Matiullah Naqibullah; Clara I. Sánchez; Bram van Ginneken (IEEE Trans. Medical Imaging, 2016)

Organ detection in thorax abdomen CT using multi-label convolutional neural networks. - Gabriel Efrain Humpire Mamani; Arnaud Arindra Adiyoso Setio; Bram van Ginneken; Colin Jacobs (Computer-Aided Diagnosis, 2017)

Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. - Guilherme Aresta; Teresa Araújo; Colin Jacobs; Bram van Ginneken; António Cunha; Isabel Ramos; Aurélio Campilho (RAMBO+BIA+TIA@MICCAI, 2018)

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. - Guilherme Aresta; Colin Jacobs; Teresa Araújo; António Cunha; Isabel Ramos; Bram van Ginneken; Aurélio Campilho (CoRR, 2018)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

LUNA16 Part 1/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

LUNA16 Part 2/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

LUNA16 Part 1/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

LUNA16 Part 1/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

LUNA16 Part 2/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

LUNA16 Part 2/2. - Bram van Ginneken; Colin Jacobs (Zenodo, 2019)

Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations. - Hidir Cem Altun; Grzegorz Chlebus; Colin Jacobs; Hans Meine; Bram van Ginneken; Horst K. Hahn (Computer-Aided Diagnosis, 2020)

Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (CoRR, 2020)

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study. - Coen de Vente; Luuk H. Boulogne; Kiran Vaidhya Venkadesh; Cheryl Sital; Nikolas Lessmann; Colin Jacobs; Clara I. Sánchez; Bram van Ginneken (CoRR, 2020)

"Sensie": Probing the sensitivity of neural networks. - Colin Jacobs (J. Open Source Softw., 2020)

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (IEEE Trans. Medical Imaging, 2020)

Surveying the reach and maturity of machine learning and artificial intelligence in astronomy. - Christopher J. Fluke; Colin Jacobs (WIREs Data Mining Knowl. Discov., 2020)

What happened here? Children integrate physical reasoning to infer actions from indirect evidence. - Colin Jacobs; Michael Lopez-Brau; Julian Jara-Ettinger (CogSci, 2021)

Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. - Weiyi Xie; Colin Jacobs; Bram van Ginneken (CoRR, 2021)

Deep Clustering Activation Maps for Emphysema Subtyping. - Weiyi Xie; Colin Jacobs; Bram van Ginneken (CoRR, 2021)

Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probe. - Colin Jacobs; Karl Glazebrook; Alex Kai Qin; Thomas Collett (Astron. Comput., 2022)

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. - Coen de Vente; Luuk H. Boulogne; Kiran Vaidhya Venkadesh; Cheryl Sital; Nikolas Lessmann; Colin Jacobs; Clara I. Sánchez; Bram van Ginneken (IEEE Trans. Artif. Intell., 2022)

Reproducibility of Training Deep Learning Models for Medical Image Analysis. - Joeran Bosma; Dre Peeters; Natália Alves; Anindo Saha; Zaigham Saghir; Colin Jacobs; Henkjan Huisman (MIDL, 2023)

Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Dirk Jan Slebos; Bram van Ginneken (CoRR, 2023)

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)

Transfer learning from a sparsely annotated dataset of 3D medical images. - Gabriel Efrain Humpire Mamani; Colin Jacobs; Mathias Prokop; Bram van Ginneken; Nikolas Lessmann (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (Medical Image Anal., 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)

Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging. - Carlos A. Ferreira; Kiran Vaidhya Venkadesh; Colin Jacobs; Miguel T. Coimbra; Aurélio Campilho (Biomed. Signal Process. Control., 2024)

Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs. - Rishad Islam; Arielle Carr; Colin Jacobs (CoRR, 2024)

Structure and position-aware graph neural network for airway labeling. - Weiyi Xie; Colin Jacobs; Jean-Paul Charbonnier; Bram van Ginneken (Medical Image Anal., 2024)

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)