Advanced Deep Learning Embedded Motion Radiomics Pipeline for Predicting Anti-PD-1/PD-L1 Immunotherapy Response in the Treatment of Bladder Cancer: Preliminary Results
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Advanced Deep Learning Embedded Motion Radiomics Pipeline for Predicting Anti-PD-1/PD-L1 Immunotherapy Response in the Treatment of Bladder Cancer: Preliminary Results
Authors
Keywords
-
Journal
Electronics
Volume 8, Issue 10, Pages 1134
Publisher
MDPI AG
Online
2019-10-08
DOI
10.3390/electronics8101134
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Grid Trading System Robot (GTSbot): A Novel Mathematical Algorithm for trading FX Market
- (2019) Rundo et al. Applied Sciences-Basel
- Oral Metronomic Vinorelbine in Advanced Non-small Cell Lung Cancer Patients Unfit for Chemotherapy
- (2018) GIUSEPPE L. BANNA et al. ANTICANCER RESEARCH
- Characterization of SiPMs With NIR Long-Pass Interferential and Plastic Filters
- (2018) Massimo Mazzillo et al. IEEE Photonics Journal
- Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow-up
- (2018) Francesco Rundo et al. IET Computer Vision
- A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
- (2018) Roger Sun et al. LANCET ONCOLOGY
- Can radiomics personalise immunotherapy?
- (2018) Issam El Naqa et al. LANCET ONCOLOGY
- De-novo and acquired resistance to immune checkpoint targeting
- (2017) Nicholas L Syn et al. LANCET ONCOLOGY
- Impact of PD-L1 expression, driver mutations and clinical characteristics on survival after anti-PD-1/PD-L1 immunotherapy versus chemotherapy in non-small-cell lung cancer: A meta-analysis of randomized trials
- (2017) Qingyuan Huang et al. OncoImmunology
- CTLA-4 and PD-1 Pathways
- (2016) Elizabeth I. Buchbinder et al. AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS
- Structural basis for blocking PD-1-mediated immune suppression by therapeutic antibody pembrolizumab
- (2016) Zhenkun Na et al. CELL RESEARCH
- MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection
- (2016) Andrew Cameron et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Structural basis for small molecule targeting of the programmed death ligand 1 (PD-L1)
- (2016) Krzysztof M. Zak et al. Oncotarget
- Improving Bacillus Calmette-Guérin (BCG) immunotherapy for bladder cancer by adding interleukin 2 (IL-2): a mathematical model
- (2015) Svetlana Bunimovich-Mendrazitsky et al. MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA
- Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework
- (2015) Audrey G. Chung et al. IEEE Access
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Guidelines for the Evaluation of Immune Therapy Activity in Solid Tumors: Immune-Related Response Criteria
- (2009) J. D. Wolchok et al. CLINICAL CANCER RESEARCH
- New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
- (2008) E.A. Eisenhauer et al. EUROPEAN JOURNAL OF CANCER
- The PD-1/PD-L1 complex resembles the antigen-binding Fv domains of antibodies and T cell receptors
- (2008) D. Y.-w. Lin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More