Ou, Yangming

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

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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

Doshi, J., Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S., & Davatzikos, C. (2016) · NeuroImage

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 309

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Davatzikos, C., Rathore, S., Bakas, S., Pati, S., Bergman, M., Kalarot, R., Sridharan, P., Gastounioti, A., Jahani, N., Cohen, E., et al. (2018) · Journal of Medical Imaging

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

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Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets

He, S., Bao, R., Li, J., Stout, J., Bjornerud, A., Grant, P. E., & Ou, Y. (2023) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

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ABCD1 dysfunction alters white matter microvascular perfusion

Lauer, A., Da, X., Hansen, M. B., Boulouis, G., Ou, Y., Cai, X., Liberato Celso Pedrotti, A., Kalpathy-Cramer, J., Caruso, P., Hayden, D. L., et al. (2017) · Brain

Metabolism and Genetic DisordersBarrier Structure and Function Studies

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