Jacobs, Colin

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

Setio, A. A. A., Ciompi, F., Litjens, G., Gerke, P., Jacobs, C., van Riel, S. J., Wille, M. M. W., Naqibullah, M., Sanchez, C. I., & van Ginneken, B. (2016) · IEEE Transactions on Medical Imaging

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 1,258

Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans

van Ginneken, B., Setio, A. A. A., Jacobs, C., & Ciompi, F. (2015) · 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 278

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules

Vaidhya Venkadesh, K., Aleef, T. A., Scholten, E. T., Saghir, Z., Silva, M., Sverzellati, N., Pastorino, U., van Ginneken, B., Prokop, M., & Jacobs, C. (2023) · Radiology

Lung Cancer Diagnosis and TreatmentAI in cancer detection

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