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Disambiguation of "Purysko, Andrei S."

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Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.

, , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750B. SPIE, (2018)

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Andrei Verbovsky

Andrei Munk

Andrei Lehmann

Andrei Belitski

Andrei Negoescu

 

Other publications of authors with the same name

Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512A. SPIE, (2019)Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study., , , , , , , and . BMC Medical Imaging, 19 (1): 22:1-22:12 (2019)A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers., , , , , , , , , and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750B. SPIE, (2018)Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503Y. SPIE, (2019)Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI., , , , , , , , , and 7 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)