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Showing results (61-70 of 79) with videos related to

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Cancer Medicine|February 13, 2023
Cryotherapy for partial gland ablation of prostate cancer: Oncologic and safety outcomesMamdouh N Aker, Wayne G Brisbane, Lorna Kwan, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 17, 2025
ELOC-Mutated Renal Cell Carcinoma is a Rare Indolent Tumor With Distinctive Genomic CharacteristicsJasmine J Wang, Rong Rong Huang, Brian D Cone, et al.
European Urology|January 28, 2019
Molecular Hallmarks of Multiparametric Magnetic Resonance Imaging Visibility in Prostate CancerKathleen E Houlahan, Amirali Salmasi, Taylor Y Sadun, et al.
Nature Biomedical Engineering|May 31, 2019
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learningYair Rivenson, Hongda Wang, Zhensong Wei, et al.
Journal of Pathology Informatics|October 18, 2019
The California Telepathology Service: UCLA's Experience in Deploying a Regional Digital Pathology Subspecialty Consultation NetworkThomas Chong, M Fernando Palma-Diaz, Craig Fisher, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 17, 1999
Leishmania major Friedlin chromosome 1 has an unusual distribution of protein-coding genesP J Myler, L Audleman, T deVos, et al.
The Journal of Urology|October 7, 2020
Predicting Pathological Tumor Size in Prostate Cancer Based on Multiparametric Prostate Magnetic Resonance Imaging and Preoperative FindingsAydin Pooli, David C Johnson, Joseph Shirk, et al.
Journal of Hematology & Oncology|May 3, 2022
Prostate cancer multiparametric magnetic resonance imaging visibility is a tumor-intrinsic phenomenaAmanda Khoo, Lydia Y Liu, Taylor Y Sadun, et al.
Radiology|June 10, 2020
Prostate Microstructure in Prostate Cancer Using 3-T MRI with Diffusion-Relaxation Correlation Spectrum Imaging: Validation with Whole-Mount Digital HistopathologyZhaohuan Zhang, Holden H Wu, Alan Priester, et al.
Nature Communications|August 13, 2021
Deep learning-based transformation of H&E stained tissues into special stainsKevin de Haan, Yijie Zhang, Jonathan E Zuckerman, et al.
Pageof 8

Showing results (61-70 of 79) with videos related to

Sort By:
Pageof 8
Cancer Medicine|February 13, 2023
Cryotherapy for partial gland ablation of prostate cancer: Oncologic and safety outcomesMamdouh N Aker, Wayne G Brisbane, Lorna Kwan, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 17, 2025
ELOC-Mutated Renal Cell Carcinoma is a Rare Indolent Tumor With Distinctive Genomic CharacteristicsJasmine J Wang, Rong Rong Huang, Brian D Cone, et al.
European Urology|January 28, 2019
Molecular Hallmarks of Multiparametric Magnetic Resonance Imaging Visibility in Prostate CancerKathleen E Houlahan, Amirali Salmasi, Taylor Y Sadun, et al.
Nature Biomedical Engineering|May 31, 2019
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learningYair Rivenson, Hongda Wang, Zhensong Wei, et al.
Journal of Pathology Informatics|October 18, 2019
The California Telepathology Service: UCLA's Experience in Deploying a Regional Digital Pathology Subspecialty Consultation NetworkThomas Chong, M Fernando Palma-Diaz, Craig Fisher, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 17, 1999
Leishmania major Friedlin chromosome 1 has an unusual distribution of protein-coding genesP J Myler, L Audleman, T deVos, et al.
The Journal of Urology|October 7, 2020
Predicting Pathological Tumor Size in Prostate Cancer Based on Multiparametric Prostate Magnetic Resonance Imaging and Preoperative FindingsAydin Pooli, David C Johnson, Joseph Shirk, et al.
Journal of Hematology & Oncology|May 3, 2022
Prostate cancer multiparametric magnetic resonance imaging visibility is a tumor-intrinsic phenomenaAmanda Khoo, Lydia Y Liu, Taylor Y Sadun, et al.
Radiology|June 10, 2020
Prostate Microstructure in Prostate Cancer Using 3-T MRI with Diffusion-Relaxation Correlation Spectrum Imaging: Validation with Whole-Mount Digital HistopathologyZhaohuan Zhang, Holden H Wu, Alan Priester, et al.
Nature Communications|August 13, 2021
Deep learning-based transformation of H&E stained tissues into special stainsKevin de Haan, Yijie Zhang, Jonathan E Zuckerman, et al.
Pageof 8