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2011-2017 (available in the Member Community)



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




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




Keynote Address
Digital Pathology and Artificial Intelligence: The Evolution towards Digital Disruption of Diagnostic Pathology 
Anil Parwani, MD, PhD; Ohio State University


Predicting Response to Neoadjuvant Chemotherapy Using Machine Learning Models Integrated with Image-based Tumor Microenvironment Features, Niomarkers and Clinical Features in HER2-positive Breast Cancers 
Zaibo Li, MD; Ohio State University


The Critical Role of the Pathologist in Digital Pathology & AI 
Liron Pantanowitz, MD; UPMC & Mohamed Salama, MD; Mayo Clinic


Similar Image Search for Histopathology 
Narayan Hegde, MS; Google


Artificial Intelligence 101 
Stanley Cohen, MD; Rutgers U/Upenn, Jefferson


Walking Down Memory Lane - A Historical Perspective of Digital Pathology and the Founding of the DPA 
Dirk Soenksen; Ceresti Health


CytoProcessor: A New Cervical Cancer Screening System for Remote Diagnosis 
Arnaud Renouf, PhD; DATEXIM


Establishing an Image Analysis Lab: Developing Quantitative Image Analysis for CD8 Cells in Tissue 
Doug Hartman, MD; UPMC


Importance of Pre-Imaging Factors in the Histology Laboratory 
Lisa Manning MLT, BSc. (Hon); Shared Health & Liron Pantanowitz, MD; UPMC


What Can We Learn from Human Visual Interaction with Digital Pathology Media? 
Sharon Fox, MD, PhD; Southeast Louisiana Veterans Healthcare System


Leeds Digital Pathology Workshop
Darren Treanor, FRCPath BSc(Computing) PhD; University of Leeds & Bethany Williams MBBS, BSc; Leeds Teaching Hospitals NHS Trust


Workshop on Deep Learning (Primer for Beginners) 
Metin Gurcan, PhD; Wake Forest School of Medicine & Khalid Niazi, PhD; Wake Forest School of Medicine


Plenary Presenter
Clinical-grade Artificial Intelligence: Hype or Hope for Cancer Care

Thomas J. Fuchs, Dr. Sc.; MSKCC


LIS Integration for Enterprise Digital Pathology and Whole Slide Imaging 
Mark Tuthill, MD; Henry Ford Health System


Multimodal Data Fusion for Pathology Applications 
Faisal Mahmood, PhD; Harvard Medical School 


Machine Learning Algorithms as An Adjunct Tool for Prostate Cancer Diagnosis in Core Needle Biopsy 
Patricia Raciti, MD; Paige


Peering into the “Black Box”: A Systems-based Approach to Understanding Convolutional Neural Networks 
Mark Zarella, PhD; Drexel University College of Medicine


Implementation of Large-scale Routine Diagnostics Using Whole Slide Imaging in Sweden: Continuing Digital pathology Experiences 2011-2019 
Anna Bodén, MD; Region Ostergotland 


Prostate Cancer Grading on Gigapixel Microscopy Images Using Machine Learning 
Wenchao Han; Western University


Implementing Digital Pathology and AI: Dollars and Sense 
Sylvia Asa, MD, PhD, University Hospitals Cleveland; Anna Bodén, MD, Region Ostergotland; Giovanni Luján, MD, Inform Diagnostics; Mohamed Salama, MD, Mayo Clinic | Moderator: Anil Parwani, MD, PhD; OSU


Using Whole Slide Images for Pathology Education
Marilyn Bui, MD, PhD; Moffitt Cancer Center, Eric Glassy, MD; APMG & Rajendra Singh, MD; Mt. Sinai School of Medicine


AI and Digital Pathology: Regulatory Perspective 
Esther Abels, MSc, PathAI & Shyam Kalavar, MPH, CT(ASCP), FDA


Connect-a-Thon Panel Discussion 
Bruce Beckwith, MD, North Shore Medical Center;Uwe Horchner, PhD, Roche Tissue Diagnostics; Dan Hosseinzadeh, M.A.Sc., Pathcore; Andreas Vendel, Sectra; John Wellbank, Epredia/3D Histech; Mikael Wintell, MSc, Region Västra Götaland




Keynote Address
Computational Pathology: Where Are We Now? 
Jeroen van der Laak, PhD 


An Interoperability Vision for Digital Pathology 
Rajesh Dash, MD 


Use Case for Digital Pathology with Tutor 
Douglas Hartman, MD


Complete Digital Pathology for Primary Diagnosis: Thirty Months’ Experience at Granada University Hospitals, Spain 
Juan Antonio Retamero, MD 


Predicting Cancer Outcomes from Histology and Genomics Using Deep Learning 
Lee Cooper, PhD 


The Impact of NGS on WSI
Jason Hipp, MD, PhD & Liron Pantanowitz, MD 


A Comprehensive Study of Robotic Digital Microscope and Whole Slide Imaging for Adequacy and Preliminary Diagnosis in FNA Cytology
Zaibo Li, MD, PhD, MBA 


Image Analysis Validation and Execution for Clinical Trial Biomarker Endpoints
Haydee Lara, PhD & Dylan Steiner, BA 


End-to-end Learning Using Convolutional Neural Networks to Predict Survival in Patients with Gastric Cancer
Armin Meier & Katharina Nekolla 


Preparing Digital Pathology Data for Machine Learning Experiments 
Dmytro Lituiev, PhD 


The Role of the LIS in Digital Pathology: Driver, Passenger or Bystander? 
Toby Cornish, MD, PhD; Jennifer Greenman; Mike Isaacs; Lisa Manning; Mark Tuthill, MD; Zoya Volynskaya, PhD | Moderator: Sylvia Asa, MD, PhD


Image Tools that Facilitate Collaboration 
Alex Baras, MD, PhD; Gillian Beamer, VMD, PhD, DACVP; Coleman Stavish; Yves Sucaet, PhD; Yannick Waumans, PhD; Thomas Westerling-Bui, PhD | Moderators: Liron Pantanowitz, MD & Christopher Ung


Plenary Presenter
Evolution of Digital Pathology = Revolution of Medicine 
Liron Pantanowitz, MD


Artificial Intelligence (AI) and Computer-Assisted Diagnosis for Pathologists (pCAD)
Jeffrey Fine, MD


Opportunities for Discovering Novel Prognostic Biomarkers with Computational Pathology 
Mark Sherman, MD


Counting vs Measuring and Segmentation vs Molecular Colocalization 
David Rimm, MD, PhD 


Development and Validation of Multiplexed Immunohistochemistry for the Quantitative Phenotyping of Immune Cell populations in Patient Tumor Samples
Yuan Sun, PhD


The Resources and Guides in Digital Pathology for Practicing Pathologists 
Marilyn Bui, MD, PhD


Searching for Similar Scans in Digital Pathology - A First Comprehensive Report 
Hamid Tizhoosh, PhD


Case Studies in Interoperability in Digital Pathology Workflow: Real World Examples of LIS-Integration with Digital Pathology Systems 
Liron Pantanowitz, MD; Anil Parwani, MD, PhD, MBA; Dean Wallace, MD


Lessons Learned from Radiology’s Workflow and AI Spaces 
Ulysses Balis, MD; Jeroen van der Laak, PhD; David Clunie, MBBS; David McClintock, MD


Have Regulations & Standards Impact on Interoperability and Algorithms?
Esther Abels, MSc


Connectathon Panel Discussion 
David Clunie, MBBS; Raj C. Dash, MD; Jochen Lennerz, MD, PhD; Mikael Wintell, MSc | Moderator: Dan Hosseinzadeh, M.A.Sc.

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