Karssemeijer, Nico

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Ehteshami Bejnordi, B., Veta, M., Johannes van Diest, P., van Ginneken, B., Karssemeijer, N., Litjens, G., van der Laak, J. A. W. M., and the CAMELYON16 Consortium, Hermsen, M., Manson, Q. F., et al. (2017) · JAMA

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 3,293

Large scale deep learning for computer aided detection of mammographic lesions

Kooi, T., Litjens, G., van Ginneken, B., Gubern-Mérida, A., Sánchez, C. I., Mann, R., den Heeten, A., & Karssemeijer, N. (2017) · Medical Image Analysis

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 965

Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities

Ghafoorian, M., Karssemeijer, N., Heskes, T., van Uden, I. W. M., Sanchez, C. I., Litjens, G., de Leeuw, F.-E., van Ginneken, B., Marchiori, E., & Platel, B. (2017) · Scientific Reports

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 236

Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI

Dalmiş, M. U., Gubern-Mérida, A., Vreemann, S., Bult, P., Karssemeijer, N., Mann, R., & Teuwen, J. (2019) · Investigative Radiology

MRI in cancer diagnosisAI in cancer detection

Cited by 120

The frequency of missed breast cancers in women participating in a high-risk MRI screening program

Vreemann, S., Gubern-Merida, A., Lardenoije, S., Bult, P., Karssemeijer, N., Pinker, K., & Mann, R. M. (2018) · Breast Cancer Research and Treatment

MRI in cancer diagnosisDigital Radiography and Breast Imaging

Cited by 37

MRI to X-ray mammography registration using a volume-preserving affine transformation

Mertzanidou, T., Hipwell, J., Cardoso, M. J., Zhang, X., Tanner, C., Ourselin, S., Bick, U., Huisman, H., Karssemeijer, N., & Hawkes, D. (2012) · Medical Image Analysis

Medical Image Segmentation TechniquesDigital Radiography and Breast Imaging

Cited by 24