Michael C. Yim
Michael C. Yim
Verified email at neomed.edu
Title
Cited by
Cited by
Year
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI
P Chirra, P Leo, M Yim, BN Bloch, AR Rastinehad, A Purysko, M Rosen, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105750B, 2018
152018
Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study
SE Viswanath, PV Chirra, MC Yim, NM Rofsky, AS Purysko, MA Rosen, ...
BMC medical imaging 19 (1), 1-12, 2019
142019
Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI
P Chirra, P Leo, M Yim, BN Bloch, AR Rastinehad, A Purysko, M Rosen, ...
Journal of Medical Imaging 6 (2), 024502, 2019
132019
COMPUTERIZED IMAGING FEATURES OF RECTAL WALL AND PERIRECTAL FAT ON T2-WEIGHTED MRI ARE ASSOCIATED WITH COMPLETE PATHOLOGIC TUMOR STAGE REGRESSION AFTER CHEMORADIATION: INITIAL …
Z Wei, M Yim, J Antunes, K Bera, JT Brady, A Madabhushi, CP Delaney, ...
DISEASES OF THE COLON & RECTUM 62 (6), E281-E282, 2019
2019
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation
MC Yim, Z Wei, J Antunes, NKR Sehgal, K Bera, JT Brady, K Friedman, ...
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–5