Scientific Program

INVITED SPEAKERS

	Markus Plass Austria
	Peter Regitnig Austria
	Norman Zerbe Germany

INVITED SPEAKER

Laura Rubbia-Brandit Switzerland

INVITED SPEAKER

Arsela Prelaj Italy

INVITED SPEAKER

Balázs Ács Hungary
"Computational Breast Pathology: Ready for Prime Time?"

ABSTRACTS

11:35	Mateusz Maniewski AI-assisted algorithm for reflex testing in equivocal HER2 immunohistochemistry
11:45	Afzan Adam Spatial Integration of Atypical Mitotic Hotspots and Tumor-Infiltrating Lymphocytes for Survival Stratification in Breast Cancer.

INVITED SPEAKERS

	Frederik Deman Belgium "Making AI Work - Not in Theory, but in Your Lab: lessons learned after 3y of experience"
	Paul van Diest The Netherlands

ABSTRACTS

14:10	Judith Ingrid Building PortrAIt: A Multidisciplinary Framework to Accelerate AI Development and Routine Implementation in Digital Pathology
14:20	Hannah Markham A multi-centre validation of the Ibex Prostate AI Pathology system compared to expert uropathologist reporting: Cancer Histology Artificial Intelligence Reliability Study (IP6-CHAIROS)

INVITED SPEAKERS

	Anne Vincent-Salomon France
	Markus Plass Austria
	Peter Regitnig Austria
	Diana Montezuma Portugal
	Thomas Mairinger Germany

INVITED SPEAKER

Peter Boor Germany

ABSTRACTS

11:35	Hrafn Weishaupt An unsupervised learning approach to resolving mislabeling of histological stains
11:45	Renaldas Augulis Computational Morphometrics to Predict Renal Allograft Survival from Biopsy Histology Images

ABSTRACTS

13:30	Carlijn Lems Pathologists versus AI copilots in digital pathology: evaluation on the DALPHIN multicentric open benchmark
13:40	Ye Wenjing Spatial profiling and prognostic value of CD66+ neutrophils in colorectal cancer patients with synchronous and metachronous liver metastases
13:50	Mateusz Maniewski Clinical relevance of AI-based reflex testing PD-L1 in non-small cell lung cancer
14:00	Garazi Serna Spain et al. Multimodal computational pathology for risk stratification in colorectal cancer
14:10	Puneet Arora Spatial Profiling of the Tumor Microenvironment to Identify Features Associated with Upgrade of Breast Ductal Carcinoma In Situ
14:20	Mónica Curado The impact of inking colour selection on digital pathology efficiency

INVITED SPEAKER

Vincenzo Della Mea Italy

ABSTRACTS

14:50	Mario Parreno-Centeno Artefact-Aware Fine-Tuning Improves Accuracy and Robustness in Histopathology Foundation Models
15:00	Loïc Le Bescond Leveraging Multimodal Foundation Models for Scalable Tumour Subtype Classification from H&E Whole-Slide Images
15:10	Gaspar Faure PlacentaBench: 10K+ Whole-Slide Images for Evaluating Foundation Models Transferability to Placental Pathology
15:20	Nefise Uysal AI-Based Gleason Grading: From Section-Level Models to Patient-Level Gleason Score

INVITED SPEAKERS

	Alessandro Caputo Italy "Computational pathology as a second language: a bilingual introduction from pathology and computer science"
	Salma Dammak The Netherlands "Computational pathology as a second language: a bilingual introduction from pathology and computer science"

ABSTRACTS

16:35	Jianan Chen United Kingdom Adrienne Flanagan United Kingdom et al. A Multimodal Knowledge-Enhanced Clinical Decision Support Platform for Diagnosing Sarcoma and its Mimics
16:45	Maximilian Koeller Felix Kueng Austria Kidney Histo-Morphology Revisited: Machine Learning Based Morphological Reasoning And Its Limitations
16:55	Swapnil Bhat, Nayantrishna Nath Can Freely Accessible Large Language Models Interpret Histopathology Images in Resource-Limited Settings? A Multi-Model Benchmarking Study
17:05	Melis Erdal Cesur, Rolf Harkes Rolf Harkes The Netherlands CODEX-Derived Cell Type Labels for H&E-Based Spatial Single-Cell Analysis in Breast Cancer

ABSTRACTS

17:35	Carman Tenorio Training of State-of-the-Art Deep Learning Models With and Without Ambiguous Regions for Nuclei Instance Segmentation
17:45	Antonia Syrnioti Human-AI Synergy in Computational Pathology: Trust, Bias, and Implementation Challenges

INVITED SPEAKERS

	Vincenzo Della Mea Italy
	Silje Elisabeth Kristiansen Norway
	Anne Vincent-Salomon France

INVITED SPEAKERS

	Markus Plass Austria
	Peter Regitnig Austria "Going Digital, Staying Compliant: The ISO 15189 Challenge"
	Yosep Chong South Korea

INVITED SPEAKER

Christian Baumgartner Austria

ABSTRACTS

13:50	Jennifer Antonythasan Organizational Readiness for AI in Diagnostic Pathology: A Regional Pre‑implementation Survey in Western Norway
14:00	Cora Lohse Regulatory-Compliant, Yet Flexible Digital Pathology Workflows for a Contract Research Organization
14:10	Frédérique Meeuwsen A roadmap to implementation of in-house developed computational pathology algorithms
14:20	Phoenix Wilkie Redefining how ethics is taught in medicine with the advent of AI

ABSTRACTS

14:30	Navin Vicent Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort
14:40	Flavio Di Lisio Data-efficient AI for the detection of duodenal neoplasia: a multi-centre study
14:50	Alexander Szabados A Unified Model for Pan‑Cancer H&E Tissue Segmentation Across 17 Organs
15:00	Giovanni Laganà Predicting spatial transcriptomics from histology images of inflammatory bowel conditions
15:10	Kerem Cavit Automated Digital Quantification of CD3⁺ and CD8⁺ Immune Infiltrates in Colorectal Carcinoma Using a Standardized Image Analysis Algorithm
15:20	Javier Baroja Deep Learning-Based Morphological Profiling of Lymph Node Metastasis Improves Prognostic Stratification in Stage III Colorectal Cancer

INVITED SPEAKERS

	Marius Linguraru United States of America
	Spyridon Bakas United States of America
	Nadieh Khalili The Netherlands
	Adam Shephard United Kingdom "The MIDOG Challenge: A Competitor’s Perspective"
	Sangjeong Ahn South Korea
	Sanket Kachole United Kingdom "HANCOTHON 2025 : A MICCAI Challenge on Predicting Recurrence and Survival Using Multimodal Head and Neck Cancer Data"
	Francesco Ciompi Italy
	Norman Zerbe Germany

INVITED SPEAKER

Julien Calderaro France

INVITED SPEAKER

Guillaume Jaume Switzerland

ABSTRACTS

09:50	Vishal Jain Annotation-Free Foreground-Background Separation and Quality Control in Histopathology
10:00	Nisha Chaudhary A calibrated and spatially aware agentic framework for head and neck cancer pathology

INVITED SPEAKER

Junya Fukuoka Japan

ABSTRACTS

11:35	Lucas Farndale Self-Supervised AI Reveals a Hidden Landscape of Prognostic Spatial Patterns in Multiplex Immunofluorescence Images
11:45	Farzaneh Seyedshahi Cross-Domain Validation of a Resection-Trained Self-Supervised Model on Multicentre Mesothelioma Biopsies

INVITED SPEAKERS

	Oscar Freyer Germany "Is EU Regulation Fit for Innovative AI Systems in Healthcare?"
	Jens Habermann Germany

INVITED SPEAKERS

	Chan Kwon Jung South Korea
	Bassma El Sabaa Egypt
	Gonzalo de Toro Chile

INVITED SPEAKER

Yosep Chong South Korea

ABSTRACTS

11:35	Wei-Lei Yang Artificial Intelligence-Assisted Urine Cytology Reduces Review Time in High-Complexity Cases Without Diagnostic Compromise
11:45	Gennaro Acanfora Deep Learning-Based Classification in Lymph Node Fine Needle Cytology

INVITED SPEAKER

Markus Plass Austria

ABSTRACTS

13:50	Devansh Lalwani Bridging the Gap: Pathologist and Clinician Perspectives on Synoptic Reporting in Histopathology
14:00	Devansh Lalwani TuroAssist: An Agentic Framework for Accelerating Synoptic Report Generation in Digital Pathology
14:10	Serdar Balci A Skill for Large Language Models to Evaluate Pathology Report Quality
14:20	Martina Haberecker User Adoption of Structured Pathology Reporting and Impact on Report Accuracy in Routine Lung Cancer Diagnostics

ABSTRACTS

14:30	Debora Cafaro Mapping Hidden Resistance: An Explainable AI Model for Spatial Prediction of Immunotherapy Response in MSI Colorectal Cancer
14:40	Robert Spaans CHIMERA: A Multimodal Benchmark for Prognostic Modeling Using mpMRI, Histopathology, and Clinical Data in Prostate Cancer
14:50	Kristijan Skok A Novel Prediction tool (AIFORIA) for Classifying Spindle Cell Lesion subtypes using Deep Learning on H&E Sections
15:00	Pierre Allaume High Performance Deep-Learning Model for the diagnosis of Auto-Immune Hepatitis based on histological Whole Slide Images
15:10	Farzaneh Seyedshahi mIF-CellFormer: Transformer Learning of Cell-Level Marker Tokens from Multiplex Immunofluorescence Images
15:20	Marek Oerlemans Multimodal Deep Learning for DCIS Risk Prediction: Integrating Histopathology and RNAseq

ABSTRACTS

16:15	Chukwunwendu Adina Integrating Digital Pathology and Infectious Disease Care to Improve Diagnosis of HIV-Associated Malignancies in Resource Limited Settings
16:25	Sara Bristow A large-scale, multi-target deep learning model for virtual genomic and molecular risk profiling in colorectal cancer
16:35	Laura Sironi Quantum Steps into Digital Pathology: Hybrid Quantum-Classical Neural Networks for Cancer Image Analysis
16:45	Jaya Jain Multi-magnification scanning of bone marrow aspirate smears enabled by Edge AI at the scanner is a boon for digitisation of haematology labs
16:55	Dmitry Loos Use of Digital Image Analysis Tools for Assessment of TROP2 Expression in Non-Small Cell Lung Cancer
17:05	Ilán Carretero Beyond Patch-Level Bias: Robustness of Pathology Foundation Models in Whole-Slide Image Classification

INVITED SPEAKER

Ali Khurram United Kingdom
"Computational and digital analysis of head and neck lesions"

ABSTRACTS

11:35	Camille Boulagnon-Rombi Impact of Artificial Intelligence Assistance on Combined PD-L1 Scoring on Whole Immunohistochemical Slide Image of tumors
11:45	Sanket Kachole Multi-FRUGAL: Multimodal Flexible Redundancy-aware Unified GAted Learning for Head and Neck Cancer Prognosis

ABSTRACTS

13:30	Oskar Thaeter Thumbnail-Based Special Stain Classification
13:40	Kristijan Skok Frozen Section 2.0 ? - Confocal Microscopy Enables Confirm-if-Positive Margin Assessment in Robotic Prostatectomy
13:50	Andrea Camilloni Development and Validation of a Multimodal AI Model to predict Biochemical Recurrence of Prostate Cancer after Primary Treatment
14:00	Marie Arrivat Leveraging Whole Slide Difficulty in Multiple Instance Learning to Improve Prostate Cancer Grading
14:10	Judith Lefkes Insights from the UNICORN Challenge: Evaluating Foundation Models for Imaging in Computational pathology, Radiology, and Natural language
14:20	David Steiner Kenneth Philbrik USA Report-style text generation for whole side images using a multimodal open weight vision-language model.

Main Auditorium

INVITED SPEAKER

Joe Yeong Singapore
"My journey When Immunology meets AI Pathology: The Impact of cross-disciplinary research"

INVITED SPEAKER

Bernadette Stolz Pretzer Germany

ABSTRACTS

09:50	Garazi Serna Graph-based spatial modeling of early tumor–immune remodeling predicts response to HER2 blockade
10:00	Melinda Lillesand Spatial immune profiling and AI-based classifiers identify predictors of BCG therapy outcome in high-risk non-muscle invasive bladder cancer
10:10	Jelica Vasiljevic Beyond Pixels: Leveraging High-Resolution Spatial Transcriptomics in Core-Needle Biopsies to Map the Cellular Organisation of the Tumour Microenvironment
10:20	Swann Ruyter When High Correlation Isn’t Enough: Rethinking Evaluation in H&E‑Based Gene Expression Prediction

INVITED SPEAKER

Jonathan Liu United States of America
"Non-destructive 3D pathology for precision oncology"

ABSTRACTS

11:20	Agni Papamaloni The Future of Renal Pathology Education: Development of 3D Models for Teaching Glomerular Disease
11:30	Maya Utermöhlen Evaluation of Lymph Node Status through Virtual 3D Histology using X-Rays
11:40	Melek Büyükgök 3D Tumor Mapping and Grade Heterogeneity Metrics in Radical Prostatectomy: A Joint Pathology–Computation Feasibility Protocol for Spatially-Informed Reporting
11:50	Silvestri A scalable end-to-end pipeline for 3D digital pathology

INVITED SPEAKER

Leena Latonen Finland
"Transforming histopathology using generative AI -based virtual staining - challenges and opportunities"

ABSTRACTS

12:20	Ruisi Li Singapore et al. H&E 3.0: An AI-Driven, Chemical-Free Virtual Histology Solution Enabling Worldwide Multiomics Profiling
12:30	Devansh Lalwani A Pathology-Specific Fréchet Inception Distance for Whole Slide Image Quality Assessment Using Foundation Model Features

INVITED SPEAKERS

	Markus Plass Austria
	Peter Regitnig Austria

9:00-9:15 Opening

9:15-9:45 Keynote I

9:45-10:45 Pathology in the ages of integrative diagnostics

10:45-11:15 Break

11:15-12:00 ML and AI - Breast Pathology

12:45-13:30 Lunch

13:30-14:30 AI in Routine Diagnostics

15:30-16:15 Break

16:15-18:00 Digital Pathology Implementation

11:15-12:00 ML and AI - Nephropathology

12:45-13:30 Lunch

13:30-14:30 Oral Free Presentations I

14:30-15:30 Machine Learning and Algorithm Development I

15:30-16:15 Break

16:15-17:15 The Odd Couple

17:15-18:00 Bias in AI

11:15-12:00 LabTech Track: Quality Management in Digital Pathology

12:00-12:45 LabTech Track: Lab Readiness in Digital Pathology

12:45-13:30 Lunch

13:30-14:30 Ethics and Regulation: Safeguarding innovation

14:30-15:30 Oral Free Presentations II

15:30-16:15 Break

16:15-18:00 Challenges in Computational Pathology: How to Assess and Compare Performances

9:00-9:30 Keynote II

9:30-10:15 AI Agents

10:15-10:30 10 year ESDIP Anniversary

10:30-11:15 Break

11:15-12:00 ML and AI - Lung Pathology

12:45-13:30 Lunch

13:30-14:30 From Validation to Post-Market Surveillance

14:30-15:30 Digital Pathology Neighborhood

15:30-16:15 Break

16:15-17:15 Interoperability Showcase

11:15-12:00 ML and AI - Cytopathology

12:45-13:30 Lunch

13:30-14:30 Structured Reporting

14:30-15:30 Machine Learning and Algotithm Development II

15:30-16:15 Break

16:15-17:15 Oral Free Presentations IV

17:15-18:15 ESDIP AGM

11:15-12:00 ML and AI - Head and Neck

12:45-13:30 Lunch

13:30-14:30 Oral Free Presentations III

15:30-16:15 Break

9:00-9:30 Keynote III

9:30-10:30 Spatial Pathology

10:30-11:00 Coffee Break

11:00-12:00 3D Visualization

12:00-12:45 Virtual Staining

12:45-13:00 Closing

13:-14:00 Lunch