Past Presentations

2022

2021

2020

2011-2019 (also available in the Member Community)

2022

Click here to view oral and poster abstracts in JPI.
Click here to view poster PDFs.

Opening Session

Esther Abels, Visiopharm; DPA President 

Creating Technologies People Love

Jonathan Cagan, PhD, Carnegie Mellon University

Digital Pathology: Payment Opportunities and Challenges

Jonathan Myles, MD, CAP & Michael Rivers, Roche

Call to Action: Developing interoperable systems instead of closed applications

Steven Hart, PhD, Mayo Clinic

Patient and Public Involvement in Digital Pathology and AI

Bethany Williams, PhD, National Pathology Imaging Co-Operative

Improving disease prediction with patient case metadata from social media 

Andrew Schaumberg, PhD, Brigham & Women's Hospital, Harvard Medical School 

Unraveling the Regulatory Complexity of Diagnostic Development in a Changing Landscape 

Staci Kearney, PhD, Elevation Strategic Development, LLC

Artificial Intelligence Applications in Inflammatory Bowel Disease: Quantifying the Mucosal Microenvironment of Ulcerative Colitis

Archit Khosla, PathAI

Image-based detection of actionable biomarkers using machine learning algorithms 

Nurit Paz-Yaacov, PhD, Imagene-AI 

Current and Future State of Digital Pathology & Artificial Intelligence

Sylvia Asa, MD, PhD, Case Western Reserve University; Matthew Hanna, MD, MSKCC; Junya Fukuoka, MD, PhD, Nagasaki University; Bethany Williams, PhD, National Pathology Imaging Co-Operative

An AI-based lymph node metastasis detection application improves pathologists’ efficiency

Shaoli Sun, MD, The Ohio State University

Multiple instance contrastive learning for classification and interpretability of pancreatic fine needle aspiration whole slide images

Andrew Sohn, MD, Johns Hopkins Medicine

Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment using deep learning algorithm

Kris Lami, MD, Nagasaki University

Data from 10 European labs: continuous monitoring could improve staining consistency of IHC companion diagnostic biomarkers

Dirk Vossen, PhD, Visiopharm

Looking after patient interests when introducing artificial intelligence into clinical care: UK prostate cancer case study

Margaret Horton, PhD, Paige & Monica Dolton, University of Oxford

Spatial Multi-omics: A new vantage for digital pathology and AI

Jason Reeves, PhD, Nanostring Technologies

What are the rules of engagement? Guidance for collaborations between academia and industry to promote progress in DP & AI

Anil Parwani, MD, PhD, Ohio State University & Liron Pantanowitz, MD, University of Michigan 

Reading vs Measuring: The Pathologists' Conundrum

David Rimm, MD, PhD, Yale University School of Medicine

The OPEN Solution: Moving towards a Digital Pathology-enabled virtual curriculum to increase global pathology workforce 

Lewis Hassell, MD, Oklahoma University Health Sciences Center  

DPA Foundation Panel Discussion 

Esther Abels, Visiopharm; Chris Garcia, MD, Mayo Clinic; Lewis Hassell, MD, Oklahoma University Health Sciences Center; Michael Rivers, Roche; John Wellbank, Epredia 

Quality Digital Images: Understanding the Cost of MSKCC Digital Pathology Operations 

Orly Ardon, PhD, Memorial Sloan Kettering Cancer Center

Evaluation, Deployment, and Implementation of Artificial Intelligence in Clinical Practice 

Douglas Hartman, MD, UPMC

Presenting a Path for integration of a digital pathology system with the laboratory information system to create innovative pathology-centric workflows 

Rajendra Singh, MD, Summit Health 

Validating and implementing artificial intelligence algorithms for routine clinical practice in an academic center with case-based and data-driven discussion 

Zaibo Li, MD, PhD, The Ohio State University

Modeling Kidney Transplant Outcome From the Donor Biopsy Using a Deep Learning Derived Measure of Percent Global Glomerulosclerosis 

S. Joshua Swamidass, MD, PhD, Washington University School of Medicine in St. Louis

Whole slide image representation in bone marrow cytology 

Hamid Tizhoosh, PhD, Mayo Clinic; Clinton Campbell, MD, PhD, Hamilton Health Sciences/McMaster University

New technologies for tissue microscopy, new opportunities for computational pathology 

Richard Levenson, MD, UC Davis Health 

Objective PD-L1 Immunohistochemistry Scoring Using Virtual Multiplex Immunofluorescence Restaining 

Saad Nadeem, PhD, Memorial Sloan Kettering Cancer Center

Multiomic spatial delineation of immunotherapy response groups in non-small cell lung cancer (NSCLC) 

Arutha Kulasinghe, PhD, The University of Queensland

DICOM WG-26 Pathology Connectathon and Hackathon 

Markus Herrmann, MD, PhD, Massachusetts General Hospital

Multimedia and Interactive Pathology Reporting Empowered by Digital Pathology - Innovations in Communicating the Value of Pathology and Connecting with Our Clinical Teams and Patients 

Marilyn Bui, MD, PhD, Moffitt Cancer Center

Update of the DPA Regulatory & Standards Task Force 

Markus Herrmann, MD, PhD, Massachusetts General Hospital; Heather Jalisi, Leica; Anindita Saha, FDA 

2021

Opening Session

Anil Parwani, MD, PhD, MBA, The Ohio State University; DPA President

Keynote Address

Reflections on Two Decades of Digital Pathology….and Timely Predictions

Bob McGonnagle, CAP

PIcc: Regulatory Science Explained 

Esther Abels, Visiopharm

We Scan, We Learn, We Improve: Digital Pathology Daily Operations in a Large NYC Tertiary Cancer Center 

Orly Ardon, PhD, MBA; MSKCC

Pathologist-free technical validation of displays for digital pathology: A proposal for liberating displays from the pixel pathway 

Dave McClintock, MD; University of Michigan

Fostering Strong Partnerships to Advance Digital Pathology & Augmented Intelligence 

Catarina Eloy, MD, PhD, European Society of Digital and Integrative Pathology; Junya Fukuoka, MD, PhD, Japanese Society of Digital Pathology; Marc Kohli, MD, Society for Imaging Informatics in Medicine

Primum non nocere and AI – The CorePlus Vision 

Juan Santa-Rosario, MD & Mariano de Socarraz; CorePlus Servicios Clinicos y Patologicos, LLC

How AI Deployment has driven full-scale digitization of Pathology for routine clinical workflow 

Judith Sandbank, MD; Maccabi Healthcare Services & Filippo Fraggetta, MD; ASP Catania; Gravina Hospital Caltagirone

Building an E.U.-scale digital pathology repository: the BIGPICTURE initiative 

Jeroen van der Laak, PhD; Radboud University Medical Center

Deep learning-based whole slide image segmentation for efficient and reproducible assistance in pathology 

David Ho, PhD; MSKCC

Not your grandmother's training plan - Going Digital and Virtual with Pathology Education 

Lewis Hassell, MD; Oklahoma University Health Sciences Center

Building a digital pathology repository to support AI: lessons learned from joint efforts by the Joint Pathology Center & Johns Hopkins University 

Mark Zarella, PhD; Johns Hopkins University & Joel Moncur, MD, PhD; Joint Pathology Center

A Practical Approach to Using Image Analysis Tools to Quantify Tumor Expression of Immunohistochemical Markers 
Dibson Gondim, MD; University of Louisville & Anil Parwani, MD, PhD; OSU

Plenary Address

The Digital Transformation of an Academic Pathology Department: The Memorial Sloan Kettering Experience, 2008-2021

David Klimstra, MD, Paige

Hackathon Panel Discussion

Markus Herrman, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Jason Klotzer, Google Cloud Healthcare & Life Sciences

Regulatory & Standards Update: Insights in Optimizing Regulatory Paths

Esther Abels, Visiopharm & Emre Gulturk, Paige

Updated Guideline for Validating Whole Slide Imaging Systems from the College of American Pathologists

Andrew Evans, MD, PhD; Mackenzie Health

Artificial Intelligence Predicts Breast Cancer Neoadjuvant Chemotherapy Response from Multi-source Pathologic Images 

Zaibo Li, MD, PhD; The Ohio State University

Demystifying digital sign out, everything you want to know about transitioning into pixels 
Giovanni Lujan, MD; OSU & Anil Parwani, MD, PhD; OSU

Digital Pathology 101
Sylvia Asa, MD, PhD, University Hospitals Cleveland Medical Center; Michael Isaacs, Washington University; Lisa Manning, Shared Health

Applying medical ethics to artificial intelligence in pathology and laboratory medicine
Brian Jackson, MD, MS; University of Utah

Advancing Non-Clinical Pathology Using Decision Support Deep Learning

Daniel Rudmann, DVM, PhD, DACVP, FIATP; Charles River

Clinical use of AI relies on generalizability and improves pathologists' diagnostic accuracy and efficiency in prostatic biopsy diagnosis 

Juan A. Retamero, MD; Paige

Slide Over! New ways to break the glass habit 

Richard Levenson, MD, UC Davis Health; Nick Reder, MD, University of Washington; Richard Torres, MD, Yale School of Medicine

2020 

Click here to view oral and poster abstracts in JPI.

Opening Session

Michael Rivers; Roche Digital Pathology; DPA President 

Keynote Address

Going Beyond Sight, Revealing Multiplex Biology

Jared Burks, PhD; MD Anderson Cancer Center

Pixel-wise comparison of whole-slide imaging viewers*

Wei-Chung Cheng, PhD; Food and Drug Administration (FDA)

Implementing and Adopting Digital Pathology for Clinical Diagnostics: A Panel Discussion by Chairs of Academic Pathology Departments

Wendy Frankel, MD, The Ohio State University; David Klimstra, MD, Memorial Sloan Kettering Cancer Center; Anil Parwani, MD, PhD, MBA, The Ohio State University; Victor Prieto, MD, PhD, MD Anderson Cancer Center

Decoding heterogeneous tumor MR signals: MR histology and cytometric feature mapping connects 2D pathology and in vivo MRI of murine sarcomas

Stephanie Blocker, PhD; Duke University

Artificial Intelligence for Pathologists 102

Stanley Cohen, MD

Success Breeds Success: An AI Approach to Reviewing AI articles in Pathology

Mark Lloyd, PhD; Inspirata

Plenary Address

AI Driven Pathomics-the Next Diagnostic Frontier

Joel Saltz, MD, PhD; Stony Brook University

Technical Performance of FDA-Cleared Medical Grade Displays vs. Consumer-off-the-Shelf and Professional Grade Displays

Jacob Abel, MD; University of Michigan & David McClintock, MD; Michigan Medicine

The Impact of Digital Pathology/Artificial Intelligence in Precision Medicine and Response to COVID19 Pandemic: An International Expert Panel Discussion 

Filippo Fraggetta, MD, Azienda Ospedaliera per l'Emergenza Cannizzaro; Junya Fukuoka, MD, PhD, Kameda Medical Center; Wen-Yih Liang, MD MS, Taipei Veterans General Hospital, TAIWAN; Bethany Williams, MBBS, BSc, Leeds Teaching Hospitals NHS Trust

Machine learning classification of CD8-topology on 4000 tumor biopsies and resections via AI-powered image analysis of CD8 immunohistochemistry slides

George Lee, PhD; BMS

KimiaNet - Training a Histopathology Deep Network from Scratch

Hamid Tizhoosh, PhD; University of Waterloo

Virtual staining can catalyze the adoption of digital pathology

Dean Wallace, MD; Keck School of Medicine of USC & Yair Rivenson, PhD; UCLA

How a Crisis Creates Regulatory Opportunities

Esther Abels, MSc, Visiopharm; Joachim Schmid, PhD, Roche Tissue Diagnostics

Augmented Reality Microscopy: Applications & Future Predictions

Liron Pantanowitz, MD; University of Michigan & Gabe Siegel; Augmentiqs

Skip the Slide: CHiMP for Practical Digital Histology without Physical Slides

Richard Torres, MD, MS; Yale School of Medicine

Connectathon Panel 

Josef Friedrichkeit, J4Care GmbH; Abhishek Garhia, Nference Inc.; Nick Haarselhorst, Philips; Markus Herrmann, MD, PhD, MGH; Uwe Horchner, PhD, Roche; Dan Hosseinzadeh, Pathcore; Lasse Jyrkinen, Neagen Oy; Nathan Schwandt, BSHS, HTL (ASCP), Epredia; Omar Sunna, MBA, GE Healthcare; Frank Yang, Huron Digital Pathology