Huisman, Henkjan

The Medical Segmentation Decathlon

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., et al. (2022) · Nature Communications

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1,384

Evaluation of prostate segmentation algorithms for mri: The promise12 challenge

Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., et al. (2014) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 857

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study

Winkel, D. J., Tong, A., Lou, B., Kamen, A., Comaniciu, D., Disselhorst, J. A., Rodríguez-Ruiz, A., Huisman, H., Szolar, D., Shabunin, I., et al. (2021) · Investigative Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 118

Supervised uncertainty quantification for segmentation with multiple annotations

Hu, S., Worrall, D., Knegt, S., Veeling, B., Huisman, H., & Welling, M. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 105

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography

Alves, N., Schuurmans, M., Litjens, G., Bosma, J. S., Hermans, J., & Huisman, H. (2022) · Cancers

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 92

Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges

Sunoqrot, M. R. S., Saha, A., Hosseinzadeh, M., Elschot, M., & Huisman, H. (2022) · European Radiology Experimental

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 76

Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans

Boers, T. G. W., Hu, Y., Gibson, E., Barratt, D. C., Bonmati, E., Krdzalic, J., van der Heijden, F., Hermans, J. J., & Huisman, H. J. (2020) · Physics in Medicine & Biology

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 51

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