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Digital Pathology Resources

Welcome to the Digital Pathology resources page: a curated list of presentation videos, slide decks, reports and posters.

These resources were produced from our Digital Pathology series of events. The next related conferences are:

Presentation Videos

Prognostic Stratification of Low vs. High-Risk Breast Cancer Patients via Master Regulator Analysis (OncoMasTR) Using Digital Pathology and Image Analysis

Arman Rahman, Assistant Professor, UCD School of Medicine, Ireland

Integrated Pathology: Algorithmic Workflows Meet Enterprise Imaging

Eric Wirch, CTO, Corista

Computer Vision & Machine Learning in Digital Neuropathology

Kurt Farrell, Assistant Professor, Department of Pathology, Icahn School of Medicine at Mount Sinai

Developing automated QC tools to enrich histopathology data and to assemble targeted datasets that enable ground-breaking pathology discoveries

Akash Parvatikar, AI Scientist, HistoWiz

Towards Open Pathology with HALO AP®: A Diagnostic Digital Pathology Platform

Eric Runde Chief Operating Officer, Indica Labs

Deep Learning Workflow for Scalable Detection of Tau Inclusions in Digital Pathology

David Gutman, Assistant Professor, Biomedical Informatics, Emory University School of Medicine

Where Tissue Meets Tech: The Clinical Benefits and ROI in Digital Pathology Start Here

James Thackeray, Chief Commercialization Officer, Lumea

Standardisation of surgical pathology annotation libraries – a proposal

David Snead, Professor & Consultant Pathologist UHCW NHS Trust Coventry and Director of PathLAKE and Professor of Pathology Warwick Medical School Coventry UK

Computational models to assess tissue micro-environmente

Arvydas Laurinavicius, Professor, Vilnius University; Director, National Centre of Pathology, Lithuania

Successful deployment of AI for primary diagnosis of prostate biopsies in BCUHB Wales

Muhammad Aslam, Consultant Pathologist and Clinical Lead at the Surgical Pathology Department, North Wales NHS

Pathologists with their Heads in the Cloud; Moving Diagnoses Online

Alistair Robson, Clinical Director Digital Pathology, Source LDPath

Metric-Based Validation of WSI Scanner Colour and Quantitative Standardisation for Pathologists and AI

Richard Salmon, Head of Life Sciences, FFEI

Digital Pathology: There and Back Again

Sylvia L. Asa, MD, PhD, Department of Pathology University Hospitals Cleveland Medical Center Case Western Reserve University

Digital Pathology and Artificial Intelligence for Clinical Diagnostics: Value Proposition and Challenges of Full Scale Implementation

Anil Parwani, Professor of Pathology, Ohio State University

Deep Learning Predicts Breast Cancer Metastasis with Sentinel Lymph Nodes

Andy Nguyen, M.D., M.S. Professor of Pathology and Laboratory Medicine UTHealth, McGovern Medical School

AI Driven Decision Support and Analytics in Non-Clinical Pathology

Daniel Rudmann, Global Digital Pathology Lead and Scientific Director, Pathology, Charles River

A.I. in Prostate Cancer

Dr Pedro Oliveria and Mr Nitin Singhal

An Academic Perspective on Digital Pathology with New Ways of Defining Success

Kim Solez, Professor Faculty of Medicine & Dentistry, University of Alberta, Canada

Concordance study between digital analysis vs. manual scoring for PD-L1 & CD8

Shravani Shitole, Senior Pathology Scientist, Ultivue

Implementation of digital pathology for routine diagnosis: experience of Rennes University Hospital

Solène-Florence Kammerer-Jacquet, Assistant Professor in Pathology, Rennes University Hospital, France

Dense mapping of breast cancer tissue components through crowdsourcing

Lee Cooper, Associate Professor of Pathology, Director, Computational Pathology, Director, Center for Computational Imaging and Signal

Deep learning in Digital Pathology Powers Cancer Treatment, Research, and Optical Biopsy

Professor Stephen Wong, Weill Cornell Medicine

Guidelines for Validating Whole Slide Imaging for Diagnostic Purposes: What’s New in 2020?

Andrew Evans, Chief of Pathology, Medical Director of Laboratory Medicine, Mackenzie Health

Leading or Lagging- Is Digital Pathology a Bane or Boon to Pathology Training Programs?

Lewis Hassell, Director of Anatomic Pathology, University of Oklahoma Health Sciences Center

Computational Pathology as a Companion Diagnostic: Implications for Precision Medicine

Professor Anant Madabhushi from Case Western Reserve University in Ohio

AI, Digital Pathology and Observer Variability: From Image Search to Building Diagnostic Consensus

Hamid Tizhoosh, Professor, Director of Kimia Lab, University of Waterloo, Canada

Interpretable Discriminative Modelling of Cellular Phenotypes for Digital Pathology

Gustavo Rohde, Associate Professor, Biomedical Engineering & Electrical and Computer Engineering, University of Virginia

Telepathology – Still the #1 application of Digital Pathology

Liron Pantanowitz, Professor of Pathology & Director of Anatomical Pathology, University of Michigan

Kidney Medicine in the Digital Age: Single Cell Sequencing and Artificial Intelligence

Kim Solez & Ishita Moghe

How Digitisation Can Improve Pathology Service – the Danish Experience

Vera Jacqueline Marita Timmermans, Clinical Associate Professor, Part-time Lecturer

Nuclear Morphometry and Cancer Biomarker Development

Beatrice Knudsen, Professor of Biomedical Sciences, Pathology Director, Translational Pathology & Scientific Director of Translational Research Core, Cedars-Sinai

Applications of Artificial Intelligence for Immuno-oncology and Precision Medicine

George Lee, Bristol-Myers Squibb

Dr. Strangelove, or: How I Learned to Stop Worrying and Love the Machine

David West, CEO, Proscia

AI, Digital Pathology and Image Analysis on the Raspberry Pi

Jerome Cheng, Clinical Assistant Professor, University of Michigan


A.I. in Prostate Cancer

Pedro Oliveira, Christie NHS Foundation Trust & Nitin Singal, AIRA Matrix

Paige Receives Clinical Approval for AI In Pathology

AI and Digital Pathology in Clinical Practice: What’s in it for Pathologists?

Digital Pathology Masterclass – Demystifying Digital Pathology Deployment

Darren Treanor, Bethany Williams, Leeds Teaching Hospitals NHS Trust and the University of Leeds, Kyoung Bun Lee Seoul National University Hospital and Corinne Hill Pathlab Bay of Plenty

High Dimensional Spatial Biology: From Discovery to High Throughput Studies

Moderator Jo Martin

Explore Spatial Biology with LCM Digital Pathology Cloud Research Solution

Lee Cooper, Associate Professor of Pathology, Director, Center for Computational Imaging and Signal Analytics, Northwestern University

Bridge Digital and Molecular Pathology

Florian Baumgartner Senior Product Manager, Visium Spatial Informatics, 10x Genomics

Digital Pathology Educational Program

Olga Colgan, Leica Biosystems | Nikolas Stathonikos, UMC Utrecht | Joao Sousa Pimentel, IMP Diagnostics

Routine Use of AI Towards Automating Histopathology Analysis

MATE NAGY, PhD, Senior Scientist & Technical Lead – Computational Biology, Pharma Services NeoGenomics

Poster Presentations

Standing on the Shoulders of Giants – Towards a winning FP9 proposal

Dr. Patrick Jackman

Up-converting nanoparticles as a tool for histopathological tissue evaluation with multiplexing and machine learning potential

Krzysztof Krawczyk, Stefan Andersson-Engels and Anders Sjögren

Convolutional neural network for colonoscopy tissue segmentation and classification

Capucine Bertrand, Saïma Ben Hadj, Catherine Guettier, Jean-François Fléjou, Jean-Yves Scoazec, Jean-François Pomerol, Pauline Baldo

Tumor budding in brightfield immunostained colon sections

Michaela Benz, Volker Bruns, Malte Kötter, Serop Baghdadlian, Matthias Bergler, Markus Eckstein, Regine Schneider- Stock, Christian Münzenmayer, Arndt Hartmann, Carol Geppert

On the verge of clinical outcome prediction: humans teaching machines – machines teaching humans

Kubach J. & Neuner C., Kobow K., Coras R., Bluemcke I., Jabari S.

High Proximity Between T cells and PD-L1+ Cells in HPV Negative Oropharyngeal Cancer Predicts Poor Outcome

A. M. Tsakiroglou, M. Fergie, K. Oguejiofor, K. Linton, D. Thompson, P. L. Stern, S. Astley, C. West and R. J. Byers

Single-Cell Sequencing & Artificial Intelligence: Bringing Kidney Transplantation to the Digital Age & Beyond

Ishita Moghe, BSc and Kim Solez, MD

Deep learning based detection of tumor tissue compartments improves prognostic immunoprofiling in muscle-invasive bladder cancer

Katharina Nekolla, et al

Preliminary Studies in the use of the Foldscope Paper Microscope for Diagnostic Analysis of Crystals in Urine: Issues in the Analysis of Liquid Samples and Potential Applications in Low Budget/Low Tech Regions of the World

R. Calder, MetroWest Medical Center, D. Stevens, Good Samaritan Hospital Medical Center, Z. Leifer, NYCPM

Distinction of Benign and Malignant Breast Histology Through Deep Learning

Jerome Cheng, MD Department of Pathology, Michigan Medicine, Ann Arbor, Michigan

Biomarker Colocalization Analysis of a Virtual 12-plex using Discovery Chromogenic Dyes and Tissuealign Co-Registration Software

Benjamin Freiberg and Regan Baird, Visiopharm

Multimodal Image Analysis: Relationship Between Pathological Image and Microscopic Ultrasound Image

S. Kashio, T. Ogawa, K. Nakano, et al., Graduate School of Science and Engineering, Chiba University

Truthful Promotion of Pathology – Building Nonfictional Models of the World to Train Sentient Artificial Intelligence

Ishita Moghe and Kim Solez, University of Alberta, Edmonton, Alberta, Canada

Machine Learning Approach to Tumor Immune Infiltrate Analysis from H&E Images

Rishi R. Rawat, Madiha Hussain, David B. Agus, et al., Lawrence J. Ellison Institute for Transformative Medicine, USC

Automatic Detection of Slides to Rescan for Whole Slide Imaging Scanner

Hossain Md Shakhawat, Tokyo Institute of Technology, Tomoya Nakamura, Japan Science and Technology Agency, Fumikazu Kimura, Shinshu University et al

A Deep Learning-based Model of Normal Histology

Tobias Sing, Imtiaz Hossain, Holger Hoefling et al, Novartis Institutes for BioMedical Research

Toward the Automation of Fluorescence In Situ Hybridization (FISH) Scoring Using a Confocal Whole Slide Image Scanner and Image Analysis Software

Naohiro Uraoka, Xiujun Fu, Paul Matises, et al., Memorial Sloan Kettering Cancer Center, New York

Presentation Slides

Digital Pathology & AI for Clinical Diagnostics: Value Proposition & Challenges of Implementation

Anil Parwani, Professor of Pathology, Ohio State University

There and back again

Sylvia Asa, Consultant in Endocrine Pathology, University Hospitals Cleveland Medical Center; Professor of Pathology, Case Western Reserve University

Deep Learning predicts breast cancer metastasis with sentinel lymph nodes

Andy N.D. Nguyen, Professor of Pathology and Laboratory Medicine, University of Texas-Houston

Digital image biobanking for the modern pathology core research lab

W. Dean Wallace, Professor of Pathology and Laboratory Medicine, Department of Pathology and Laboratory Medicine, USC

Quantitative Image Analysis for Tissue Biomarkers

Haydee Lara, Scientist II, Biomarker Development, Alexion Pharmaceuticals

How regulatory science can fasten innovation in digital pathology and ML/AI

Jochen Lennerz, Associate Chief of Pathology, Medical Director, Massachusetts General Hospital, Center for Integrated Diagnostics, Boston

Histology Simplified: Leveraging AI driven, automated workflows to accelerate digital pathology

Akash Parvatikar, AI Scientist, HistoWiz

Quantitative Color: Metric-Based QA for WSI Color and Impact of Standardisation on Digital Pathology and AI

Rick Salmon, Head of Life Science, FFEI

User interface automation of a commercial whole-slide imaging system

Mikhail Kovalenko, MS Olena Rozenblat, BA Richard D. Hammer, MD, University of Missouri

Up-Converting NanoParticles as a powerful tool for tissue evaluation


Using Modern Technologies in Digital Pathology to Diagnose Children With Cancer in Malawi From 7,400 Miles Away

Yuchun Ding, Research Associate, University of Newcastle

Melanoma Diagnosis and Staging using Digital Pathology

Prof. Mrinal Mandal, University of Alberta

Kidney Medicine in the Digital Age: Single-Cell Sequencing & AI

Ishita Moghe & Kim Solez, University of Alberta

Applications of deep neural networks for of digital pathology (and embryo) image classification

Iman Hajirasouliha, Cornell University

Disease processes by pixel analysis – the new era of digital pathology

David Snead, Consultant Histopathologist and Clinical Service Lead, (CWPS and UHCW NHS Trust)

An Image Retrieval System for Digital Pathology

Manfredo Atzori, HES-SO, Valais-Wallis

Digital Pathology at John Hopkins

Alexander Baras, Assistant Professor, Oncology, Urology, & Oncology

Implementation of day-to-day Digital Pathology in the US market

Drazen M. Jukic, Associate Professor, University of Florida

PRS: Co-resident Objective Measure of IHC Stain Performance for Process QC and Diagnostic Aid

Frederick Husher, Chief R&D, PRS Ltd.

Applied Digital Pathology in Colon and Lung Cancer Research

Viktor H. Koelzer, Pathologist & SNSF Research Fellow, University of Oxford and University of Birmingham

Open and Collaborative Software for Digital Pathology

Raphael Maree, Research Fellow, University of Liège

Digital Pathology – Implementing it in a Leading Cancer Centre

Pedro Oliveira, Pathologist, Hospital da Luz

Digital Pathology Customer Survey Results – 100% digital slides

Jasper Peeters, Head of Product Management Digital Pathology Solutions, Philips


The Benefits of Computational Pathology

Digital Pathology as a Diagnostic Tool