Mirabela Rusu
Mirabela Rusu
Assistant Professor of Radiology at Stanford University
Verified email at - Homepage
Cited by
Cited by
A mammalian microRNA expression atlas based on small RNA library sequencing
P Landgraf, M Rusu, R Sheridan, A Sewer, N Iovino, A Aravin, S Pfeffer, ...
Cell 129 (7), 1401-1414, 2007
A deep learning-based algorithm for 2-D cell segmentation in microscopy images
Y Al-Kofahi, A Zaltsman, R Graves, W Marshall, M Rusu
BMC bioinformatics 19, 1-11, 2018
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022
Radiomics analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: a proof-of-concept study
J Antunes, S Viswanath, M Rusu, L Valls, C Hoimes, N Avril, ...
Translational oncology 9 (2), 155-162, 2016
Using Sculptor and Situs for simultaneous assembly of atomic components into low-resolution shapes
S Birmanns, M Rusu, W Wriggers
Journal of structural biology 173 (3), 428-435, 2011
Evolutionary bidirectional expansion for the tracing of alpha helices in cryo-electron microscopy reconstructions
M Rusu, W Wriggers
Journal of structural biology 177 (2), 410-419, 2012
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
W Shao, L Banh, CA Kunder, RE Fan, SJC Soerensen, JB Wang, ...
Medical image analysis 68, 101919, 2021
Automated tracing of filaments in 3D electron tomography reconstructions using Sculptor and Situs
M Rusu, Z Starosolski, M Wahle, A Rigort, W Wriggers
Journal of structural biology 178 (2), 121-128, 2012
An assembly model of Rift Valley fever virus
M Rusu, R Bonneau, MR Holbrook, SJ Watowich, S Birmanns, ...
Frontiers in microbiology 3, 254, 2012
Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer
A Singanamalli, M Rusu, RE Sparks, NNC Shih, A Ziober, LP Wang, ...
Journal of Magnetic Resonance Imaging 43 (1), 149-158, 2016
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
A Seetharaman, I Bhattacharya, LC Chen, CA Kunder, W Shao, ...
Medical Physics 48 (6), 2960-2972, 2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction
RR Sood, W Shao, C Kunder, NC Teslovich, JB Wang, SJC Soerensen, ...
Medical Image Analysis 69, 101957, 2021
Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI
M Rusu, W Shao, CA Kunder, JB Wang, SJC Soerensen, NC Teslovich, ...
Medical Physics 47 (9), 4177-4188, 2020
An application of generative adversarial networks for super resolution medical imaging
R Sood, B Topiwala, K Choutagunta, R Sood, M Rusu
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework
I Bhattacharya, A Seetharaman, C Kunder, W Shao, LC Chen, ...
Medical image analysis 75, 102288, 2022
Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas
ME Berens, A Sood, JS Barnholtz-Sloan, JF Graf, S Cho, S Kim, J Kiefer, ...
PLoS One 14 (12), e0219724, 2019
Biomolecular pleiomorphism probed by spatial interpolation of coarse models
M Rusu, S Birmanns, W Wriggers
Bioinformatics 24 (21), 2460-2466, 2008
Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation
L Li, S Pahwa, G Penzias, M Rusu, J Gollamudi, S Viswanath, ...
Scientific reports 7 (1), 8717, 2017
Anisotropic super resolution in prostate mri using super resolution generative adversarial networks
R Sood, M Rusu
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
Corrsignet: Learning correlated prostate cancer signatures from radiology and pathology images for improved computer aided diagnosis
I Bhattacharya, A Seetharaman, W Shao, R Sood, CA Kunder, RE Fan, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
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