Digital Pathology in Cardiac Transplant Diagnostics: From Biopsies to Algorithms
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Digital Pathology in Cardiac Transplant Diagnostics: From Biopsies to Algorithms
Authors
Keywords
-
Journal
CARDIOVASCULAR PATHOLOGY
Volume -, Issue -, Pages 107587
Publisher
Elsevier BV
Online
2023-11-03
DOI
10.1016/j.carpath.2023.107587
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The End of Endomyocardial Biopsy?
- (2023) Luise Holzhauser et al. JACC-Heart Failure
- Current status and outcomes in heart transplantation: a narrative review
- (2022) Morcos A. Awad et al. Reviews in Cardiovascular Medicine
- Computational Analysis of Routine Biopsies Improves Diagnosis and Prediction of Cardiac Allograft Vasculopathy
- (2022) Eliot G. Peyster et al. CIRCULATION
- Endomyocardial biopsy in the clinical context: current indications and challenging scenarios
- (2022) Aldostefano Porcari et al. HEART FAILURE REVIEWS
- Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
- (2022) Jana Lipkova et al. NATURE MEDICINE
- A manifesto on explainability for artificial intelligence in medicine
- (2022) Carlo Combi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- The Molecular Microscope Diagnostic System: Assessment of Rejection and Injury in Heart Transplant Biopsies
- (2022) Philip F. Halloran et al. TRANSPLANTATION
- Artificial intelligence and computational pathology
- (2021) Miao Cui et al. LABORATORY INVESTIGATION
- A Changing Paradigm in Heart Transplantation: An Integrative Approach for Invasive and Non-Invasive Allograft Rejection Monitoring
- (2021) Alessia Giarraputo et al. Biomolecules
- Epidemiology of Heart Failure
- (2021) Véronique L. Roger CIRCULATION RESEARCH
- An automated computational image analysis pipeline for histological grading of cardiac allograft rejection
- (2021) Eliot G Peyster et al. EUROPEAN HEART JOURNAL
- Image Analysis Pipeline for Renal Allograft Evaluation and Fibrosis Quantification
- (2021) Alton Brad Farris et al. Kidney International Reports
- A guide to machine learning for biologists
- (2021) Joe G. Greener et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
- Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging
- (2021) Frederik Großerueschkamp et al. Visceral Medicine
- The Role of Machine Learning in Cardiovascular Pathology
- (2021) Carolyn Glass et al. CANADIAN JOURNAL OF CARDIOLOGY
- Innovations in Heart Transplantation: A Review
- (2021) Amanda C. Coniglio et al. JOURNAL OF CARDIAC FAILURE
- The International Thoracic Organ Transplant Registry of the International Society for Heart and Lung Transplantation: Thirty-eighth adult heart transplantation report — 2021; Focus on recipient characteristics
- (2021) Kiran K. Khush et al. JOURNAL OF HEART AND LUNG TRANSPLANTATION
- Digital pathology and artificial intelligence in translational medicine and clinical practice
- (2021) Vipul Baxi et al. MODERN PATHOLOGY
- The Use of Artificial Intelligence (AI) Machine Learning to Determine Myocyte Damage in Cardiac Transplant Acute Cellular Rejection
- (2020) C. Glass et al. JOURNAL OF HEART AND LUNG TRANSPLANTATION
- The future of pathology is digital
- (2020) J.D. Pallua et al. PATHOLOGY RESEARCH AND PRACTICE
- The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis
- (2020) Massimo Salvi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Digital Pathology: Advantages, Limitations and Emerging Perspectives
- (2020) Stephan W. Jahn et al. Journal of Clinical Medicine
- Analysis of Outcomes in Heart Transplantation
- (2019) Archer Kilbourne Martin et al. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA
- Computational Pathology Definitions, Best Practices, and Recommendations for Regulatory Guidance: A White Paper from the Digital Pathology Association
- (2019) Esther Abels et al. JOURNAL OF PATHOLOGY
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
- (2019) Gabriele Campanella et al. NATURE MEDICINE
- A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
- (2018) Jeffrey J. Nirschl et al. PLoS One
- Advanced Morphologic Analysis for Diagnosing Allograft Rejection
- (2018) Eliot G. Peyster et al. TRANSPLANTATION
- Complications of Cardiac Transplantation
- (2018) Luciano Potena et al. Current Cardiology Reports
- Cardiac transplantation: indications, eligibility and current outcomes
- (2018) Sai Kiran Bhagra et al. HEART
- Epidemiology and aetiology of heart failure
- (2016) Boback Ziaeian et al. Nature Reviews Cardiology
- Cardiac Transplantation in the New Era
- (2015) Alan L. Gass et al. Cardiology in Review
- The Registry of the International Society for Heart and Lung Transplantation: Thirty-second Official Adult Heart Transplantation Report—2015; Focus Theme: Early Graft Failure
- (2015) Lars H. Lund et al. JOURNAL OF HEART AND LUNG TRANSPLANTATION
- Post–Heart Transplant Complications
- (2014) Edo Y. Birati et al. CRITICAL CARE CLINICS
- A web-based pilot study of inter-pathologist reproducibility using the ISHLT 2004 working formulation for biopsy diagnosis of cardiac allograft rejection: The European experience
- (2011) Annalisa Angelini et al. JOURNAL OF HEART AND LUNG TRANSPLANTATION
- Has the 2004 revision of the International Society of Heart and Lung Transplantation grading system improved the reproducibility of the diagnosis and grading of cardiac transplant rejection?
- (2008) Hui-Min Yang et al. CARDIOVASCULAR PATHOLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started