Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Philippe Weitz

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Biomedical Circuits and Systems|July 23, 2016
SensInDenT-Noncontact Sensors Integrated Into Dental Treatment UnitsDaniel Teichmann, Maren Teichmann, Philippe Weitz, et al.
Breast Cancer Research : BCR|January 29, 2024
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancerAbhinav Sharma, Philippe Weitz, Yinxi Wang, et al.
Breast Cancer Research : BCR|June 3, 2024
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide imagesConstance Boissin, Yinxi Wang, Abhinav Sharma, et al.
Bioinformatics (Oxford, England)|May 20, 2022
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networksPhilippe Weitz, Yinxi Wang, Kimmo Kartasalo, et al.
Cancer Research|August 3, 2021
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast CancerYinxi Wang, Kimmo Kartasalo, Philippe Weitz, et al.
Iscience|July 14, 2022
Using deep learning to detect patients at risk for prostate cancer despite benign biopsiesBojing Liu, Yinxi Wang, Philippe Weitz, et al.
Scientific Data|August 24, 2023
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine DiagnosticsPhilippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
Medical Image Analysis|July 9, 2024
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissuePhilippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Biomedical Circuits and Systems|July 23, 2016
SensInDenT-Noncontact Sensors Integrated Into Dental Treatment UnitsDaniel Teichmann, Maren Teichmann, Philippe Weitz, et al.
Breast Cancer Research : BCR|January 29, 2024
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancerAbhinav Sharma, Philippe Weitz, Yinxi Wang, et al.
Breast Cancer Research : BCR|June 3, 2024
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide imagesConstance Boissin, Yinxi Wang, Abhinav Sharma, et al.
Bioinformatics (Oxford, England)|May 20, 2022
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networksPhilippe Weitz, Yinxi Wang, Kimmo Kartasalo, et al.
Cancer Research|August 3, 2021
Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression-Morphology Analysis in Breast CancerYinxi Wang, Kimmo Kartasalo, Philippe Weitz, et al.
Iscience|July 14, 2022
Using deep learning to detect patients at risk for prostate cancer despite benign biopsiesBojing Liu, Yinxi Wang, Philippe Weitz, et al.
Scientific Data|August 24, 2023
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine DiagnosticsPhilippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
Medical Image Analysis|July 9, 2024
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissuePhilippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
Pageof 1