Abolmaesumi, Purang

On modelling label uncertainty in deep neural networks: Automatic estimation of intra-observer variability in 2d echocardiography quality assessment

Liao, Z., Girgis, H., Abdi, A., Vaseli, H., Hetherington, J., Rohling, R., Gin, K., Tsang, T., & Abolmaesumi, P. (2020) · IEEE Transactions on Medical Imaging

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 56

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations

Azizi, S., Bayat, S., Yan, P., Tahmasebi, A., Nir, G., Kwak, J. T., Xu, S., Wilson, S., Iczkowski, K. A., Lucia, M. S., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

Cited by 47

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study

Azizi, S., Imani, F., Ghavidel, S., Tahmasebi, A., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., et al. (2016) · International Journal of Computer Assisted Radiology and Surgery

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 45

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Azizi, S., Mousavi, P., Yan, P., Tahmasebi, A., Kwak, J. T., Xu, S., Turkbey, B., Choyke, P., Pinto, P., Wood, B., et al. (2017) · International Journal of Computer Assisted Radiology and Surgery

Ultrasound Imaging and ElastographyRadiomics and Machine Learning in Medical Imaging

Cited by 30

Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures

Anas, E. M. A., Seitel, A., Rasoulian, A., John, P. S., Pichora, D., Darras, K., Wilson, D., Lessoway, V. A., Hacihaliloglu, I., Mousavi, P., et al. (2015) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 27