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Andrew Janowczyk

Showing results (51-60 of 69) with videos related to

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European Radiology|September 3, 2020
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathologyRakesh Shiradkar, Ananya Panda, Patrick Leo, et al.
Npj Imaging|July 4, 2024
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning modelsFan Fan, Georgia Martinez, Thomas DeSilvio, et al.
European Radiology|September 18, 2020
Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathologyRakesh Shiradkar, Ananya Panda, Patrick Leo, et al.
Arxiv|November 24, 2025
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide imagesMark S Keller, Nicholas Lucarelli, Yijiang Chen, et al.
Frontiers in Immunology|November 12, 2024
Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse modelXiang Li, Casey C Heirman, Ashlyn G Rickard, et al.
The Lancet. Digital Health|November 9, 2020
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective studyCheng Lu, Kaustav Bera, Xiangxue Wang, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|October 20, 2023
Visual Assessment of 2-Dimensional Levels Within 3-Dimensional Pathology Data Sets of Prostate Needle Biopsies Reveals Substantial Spatial HeterogeneityCan Koyuncu, Andrew Janowczyk, Xavier Farre, et al.
Virchows Archiv : an International Journal of Pathology|May 27, 2022
Towards a national strategy for digital pathology in SwitzerlandAndrew Janowczyk, Daniel Baumhoer, Stefan Dirnhofer, et al.
Medrxiv : the Preprint Server for Health Sciences|July 29, 2024
Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGSFan Fan, Qian Liu, Jarcy Zee, et al.
Kidney International|May 23, 2025
Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosisFan Fan, Qian Liu, Jarcy Zee, et al.
Pageof 7

Showing results (51-60 of 69) with videos related to

Sort By:
Pageof 7
European Radiology|September 3, 2020
T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathologyRakesh Shiradkar, Ananya Panda, Patrick Leo, et al.
Npj Imaging|July 4, 2024
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning modelsFan Fan, Georgia Martinez, Thomas DeSilvio, et al.
European Radiology|September 18, 2020
Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathologyRakesh Shiradkar, Ananya Panda, Patrick Leo, et al.
Arxiv|November 24, 2025
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide imagesMark S Keller, Nicholas Lucarelli, Yijiang Chen, et al.
Frontiers in Immunology|November 12, 2024
Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse modelXiang Li, Casey C Heirman, Ashlyn G Rickard, et al.
The Lancet. Digital Health|November 9, 2020
A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective studyCheng Lu, Kaustav Bera, Xiangxue Wang, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|October 20, 2023
Visual Assessment of 2-Dimensional Levels Within 3-Dimensional Pathology Data Sets of Prostate Needle Biopsies Reveals Substantial Spatial HeterogeneityCan Koyuncu, Andrew Janowczyk, Xavier Farre, et al.
Virchows Archiv : an International Journal of Pathology|May 27, 2022
Towards a national strategy for digital pathology in SwitzerlandAndrew Janowczyk, Daniel Baumhoer, Stefan Dirnhofer, et al.
Medrxiv : the Preprint Server for Health Sciences|July 29, 2024
Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGSFan Fan, Qian Liu, Jarcy Zee, et al.
Kidney International|May 23, 2025
Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosisFan Fan, Qian Liu, Jarcy Zee, et al.
Pageof 7