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Mark Rosen

Showing results (21-30 of 84) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Graph embedding to improve supervised classification and novel class detection: application to prostate cancerAnant Madabhushi, Jianbo Shi, Mark Rosen, et al.
Magnetic Resonance Imaging|October 15, 2014
Effects of flip angle uncertainty and noise on the accuracy of DCE-MRI metrics: comparison between standard concentration-based and signal difference methodsPing Wang, Yiqun Xue, Xia Zhao, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|March 18, 2009
Adrenocortical neoplasms with myelolipomatous and lipomatous metaplasia: report of 3 casesKathleen T Montone, Mark Rosen, Evan S Siegelman, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|April 26, 2015
Implementation and assessment of a curriculum for bedside ultrasound trainingElizabeth E Turner, J Christian Fox, Mark Rosen, et al.
Translational Oncology|June 10, 2015
Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy ResponseAhmed Ashraf, Bilwaj Gaonkar, Carolyn Mies, et al.
Neurosurgery|August 30, 2008
Curvularia fungi presenting as a large cranial base meningioma: case reportHarminder Singh, Sibyl Irwin, Steven Falowski, et al.
Annals of Surgical Oncology|June 20, 2013
Clinically meaningful tumor reduction rates vary by prechemotherapy MRI phenotype and tumor subtype in the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657)Rita A Mukhtar, Christina Yau, Mark Rosen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Heterogeneity wavelet kinetics from DCE-MRI for classifying gene expression based breast cancer recurrence riskMajid Mahrooghy, Ahmed B Ashraf, Dania Daye, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRIPratik Patel, Jonathan Chappelow, John Tomaszewski, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
A multichannel Markov random field approach for automated segmentation of breast cancer tumor in DCE-MRI data using kinetic observation modelAhmed B Ashraf, Sara Gavenonis, Dania Daye, et al.
Pageof 9

Showing results (21-30 of 84) with videos related to

Sort By:
Pageof 9
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Graph embedding to improve supervised classification and novel class detection: application to prostate cancerAnant Madabhushi, Jianbo Shi, Mark Rosen, et al.
Magnetic Resonance Imaging|October 15, 2014
Effects of flip angle uncertainty and noise on the accuracy of DCE-MRI metrics: comparison between standard concentration-based and signal difference methodsPing Wang, Yiqun Xue, Xia Zhao, et al.
Endocrine Practice : Official Journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists|March 18, 2009
Adrenocortical neoplasms with myelolipomatous and lipomatous metaplasia: report of 3 casesKathleen T Montone, Mark Rosen, Evan S Siegelman, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|April 26, 2015
Implementation and assessment of a curriculum for bedside ultrasound trainingElizabeth E Turner, J Christian Fox, Mark Rosen, et al.
Translational Oncology|June 10, 2015
Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy ResponseAhmed Ashraf, Bilwaj Gaonkar, Carolyn Mies, et al.
Neurosurgery|August 30, 2008
Curvularia fungi presenting as a large cranial base meningioma: case reportHarminder Singh, Sibyl Irwin, Steven Falowski, et al.
Annals of Surgical Oncology|June 20, 2013
Clinically meaningful tumor reduction rates vary by prechemotherapy MRI phenotype and tumor subtype in the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657)Rita A Mukhtar, Christina Yau, Mark Rosen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Heterogeneity wavelet kinetics from DCE-MRI for classifying gene expression based breast cancer recurrence riskMajid Mahrooghy, Ahmed B Ashraf, Dania Daye, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRIPratik Patel, Jonathan Chappelow, John Tomaszewski, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
A multichannel Markov random field approach for automated segmentation of breast cancer tumor in DCE-MRI data using kinetic observation modelAhmed B Ashraf, Sara Gavenonis, Dania Daye, et al.
Pageof 9