Bult, Peter
Radboud University Medical Center
6 papers on CoChatORCID 0000-0001-6427-9889
Most cited papers
- Verified
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
- Verified
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Litjens, G., Sánchez, C. I., Timofeeva, N., Hermsen, M., Nagtegaal, I., Kovacs, I., Hulsbergen - van de Kaa, C., Bult, P., van Ginneken, B., & van der Laak, J. (2016) · Scientific Reports
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 1,069
- Verified
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 569
- Verified
Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion
Ilina, O., Gritsenko, P. G., Syga, S., Lippoldt, J., La Porta, C. A. M., Chepizhko, O., Grosser, S., Vullings, M., Bakker, G.-J., Starruß, J., et al. (2020) · Nature Cell Biology
Cellular Mechanics and InteractionsCancer Cells and Metastasis
Cited by 375
- Verified
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
- Verified
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
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