Scientific Program


9:00
 Arvydas Laurinavicius Lithuania
Welcome words from the Congress President
9:05
 Norman Zerbe Germany
Welcome words from ESDIP President
9:10
 Olegas Niaksu Lithuania
Digital Transformation of Healthcare – a national perspective from the Ministry of Health, Lithuania

CHAIR
Arvydas Laurinavicius Lithuania
INVITED SPEAKER
9:20
 Richard Levenson United States of America
The next step (?): From whole-slide imaging to no-slide imaging

CHAIR
Inti Zlobec Switzerland
INVITED SPEAKER
9:50
 Hannah Williams Switzerland
Resolving the transcriptional landscape of colorectal cancer through spatial transcriptomics
ABSTRACTS
10:10
 		Spyridon Bakas United States of America
Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance
10:20
 		Elaine Chan Malaysia
Spatially Resolved Transciptomic Profilling Of Formalin-Fixed Colorectal Cancer (CRC) Tissues Between Well & Poorly Differentiated Tissue Areas
10:30
 		Leander Van Eekelen The Netherlands
Immunotherapy response prediction for non-small cell lung cancer is improved by using cell-graphs of the tumor microenvironment

CHAIRS
Kurt Zatloukal Austria
Tom Bisson Germany
INVITED SPEAKER
11:15
 Naoko Tsuyama Japan
Bridging the gap: enhancing pathologists’ interpretability of AI via feature visualisation
ABSTRACTS
11:35
 		Bart Sturm The Netherlands
Deep learning predicts the effect of neo-adjuvant chemotherapy for patients with triple negative breast cancer
11:45
 		Elaine Chan Malaysia
Pancreatic Cancer Classification Using Deep Convolutional Neural Network to Aid The Analysis of Fine Needle Aspirates for Pancreatic Cancer Diagnosis
11:55
 		Anthony Manet Norway
Predicting prostate cancer outcome from histopathology section images using deep learning
12:05
 		Waleed Ahmad Germany
Computational pathology platform for lung cancer: development and validation of diagnostic and prognostic algorithms
12:15
 		Farbod Khoraminia The Netherlands
Deep Learning Unveils Molecular Footprints in Histology: Predicting Molecular Subtypes from Bladder Cancer Histology Slides

CHAIRS
Mircea Serbanescu Romania
Nadieh Khalili The Netherlands
INVITED SPEAKER
14:00
 Daniel Racoceanu France
Virtual staining using trustworthy and scalable pipeline
ABSTRACTS
14:20
 		Kastytis Sidlauskas United Kingdom
Predictive Morphological Markers for Ductal Carcinoma In Situ: A Computational Approach to Risk Stratification
14:30
 		Adam Shephard United Kingdom
ODYN: An Artificial Intelligence-based Pipeline for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia
14.40
 		Ana Leni Frei Switzerland
Using tumor topology to predict patient survival after neoadjuvant chemoradiotherapy in rectal cancer
14:50
 		Jingsong Liu Germany
Diff-ST: Staining Translation between HE and IHC by Diffusion Models
15:00
 		Mark Eastwood United Kingdom
Multi-task GNN Prediction in Breast Cancer using Deep Features and Cellular Composition Statistics
15:10
 		Dominique Van Midden The Netherlands
Deep learning-based segmentation of peritubular capillaries in kidney transplant biopsies.
15:20
 		Emilio Madrigal United States of America
The FHIR Standard and Digital Pathology: Accelerating Workflow Evolution
15:30
 		Ujjwal Baid United States of America
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes: One DL model for 12 cancer types
15:40
 		Kesi Xu United Kingdom
Is Segment Anything Model Generalisable for Histology Images?
15:50
 		Alboukadel Kassambara France
Attentive Deep-Learning model for predicting Immunoscore in TNBC from MyProbe RHU H&E images: histological interpretability and clinical outcomes


PANELISTS
Naoko Tsuyama Japan
Inti Zlobec Switzerland
Michael Quick United States of America
Junya Fukuoka Japan
Norman Zerbe Germany

CHAIRS
Luca Cima Italy
Allan Rasmusson Lithuania
ABSTRACTS
14:00
 		Shireen Padayachy United Kingdom
Optimising the cellular pathology laboratory workflow during the digital pathology transition: film vs. glass
14:10
 		Emil Plesea Romania
Sex related differences between fibrillary morphological profile of aortic tunica media
14:20
 		Hrafn Weishaupt Norway
Clustering of glomerular image patches identifies clinically relevant lesion categories
14:30
 		Renaldas Augulis Lithuania
Computational pathology model to assess acute and chronic transformations of the tubulointerstitial compartment in renal allograft biopsies
14:40
 		Daniel Firmbach Germany
Quantification of Crypt Branching in the Colon Mucosa using Machine Learning: A Shape-based Approach
14:50
 		Leana Ducor Switzerland
Quantitative Analysis of Bile Duct Morphology and Spatial Distribution in Nonalcoholic Steatohepatitis (NASH) Liver Biopsies Across Disease Stages.
15:00
 		Marek Wodzinski Switzerland
Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation
15:10
 		Johanna Palacios Spain
What to look for when choosing a slide scanner for your laboratory.
15:20 Nimisha Tiwari India
Deep Learning models to differentiate Non-invasive Follicular Thyroid Neoplasm with Papillary-like nuclear features (NIFTP) from other thyroid lesions
15:30
 		Mauro Gwerder Switzerland
Quantification of EMT transition and stromal infiltrative growth patterns using molecular and morphological feature extraction in colorectal cancer
15:40
 		Adrien Navaggioli France
Computer-Aided Diagnosis in Digital Dermatopathology: Automatic Detection of Malignant Lesions
15:50 Talat Zehra Pakistan
Model for detecting metastatic deposits in lymph nodes of colorectal carcinoma on digital/ Non WSI images.

CHAIRS
Vincenzo L'Imperio Italy
Sara Oliveira The Netherlands
INVITED SPEAKER
16:30
 Adam Shephard United Kingdom
OMTscoring: A Fully Automated Pipeline for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia
ABSTRACTS
16:50
 		Zhilong Weng Germany
GrandQC tool: A radical solution for quality control problem in digital pathology
17:00
 		John Weldon Ireland
Leveraging a Colorectal AI Model for Quality Assurance in a Digital Pathology Diagnostic Platform
17:10
 		Marina D'Amato The Netherlands
Automated Quality Control in Histopathology through Artifact Segmentation
17:20 Yujie Xiang Sweden
How do unsharp areas of histopathology whole slide images impact deep learning model performance and how can the problem be reduced?

CHAIRS
Emily Clarke United Kingdom
Milda Poceviciute Sweden
INVITED SPEAKER
9:00
 Peter Boor Germany
Ecologically Sustainable AI for Pathology
ABSTRACTS
09:20
 		Stavros Pantelakos Greece
Old tools for new uses: AABACUS as a task-specific model approach to monetizing outcomes of pathology AI solutions

CHAIRS
Arvydas Laurinavicius Lithuania
Vincenzo Della Mea Italy
INVITED SPEAKER
9:30
 Diana Montezuma Portugal Sara Oliveira The Netherlands
Ink to insight: a perspective on annotation approaches for Computational Pathology
ABSTRACTS
09:50
 		Niklas Prenissl Germany  Jonas Dippel Germany
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
10:00
 		Glenn Broeckx Belgium
A Multi-Feature AI Solution for Diagnosis Support of Breast Excisions: A Clinical Validation Study
10:10
 		Allan Rasmusson Lithuania  Dovile Zilenaite-Petrulaitiene Lithuania
Hexagonal Grid-based Methods for Pathology: An Overlooked Approach for Spatial Analytics
10:20
 		Anders Blilie Norway  Nita Mulliqi Sweden et al.
Artificial Intelligence Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry

CHAIRS
Adam Shephard United Kingdom
Yuri Tolkach Germany
INVITED SPEAKER
11:00
 Emily Clarke United Kingdom
Generating objective prognostic biomarkers in whole slide images of melanoma using artificial intelligence
ABSTRACTS
11:20
 		Leslie Tessier The Netherlands
Large-scale validation of AI-assisted mitosis counting in breast cancer
11:30
 		Shubham Innani United States of America
Self-supervised determination of glioma IDH mutation status from H&E-stained whole slide images
11:40
 		Huong Quynh Nguyen Germany
Automatic Detection of Esophageal Cancer in Whole Slide Images
11:50
 		Emil Plesea Romania
Relationship between abrasion and dentin morphology in occlusal dysfunction
12:00
 		Yannis Schumann Germany
Predicting Epigenetic Ependymoma Types from Histological Whole-Slide Images Using Deep Neural Networks
12:10
 		Eltjona Mane Italy
Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer
12:20
 		Mostafa Jahanifar United Kingdom
Exploring the Clinical Utility of Artificial Intelligence in Mitosis Scoring for Breast Cancer

CHAIRS
Norman Zerbe Germany
Johan Lundin Finland
INVITED SPEAKERS
14:00
 Riyad El-Khoury Lebanon
Beyond the Microscope: Challenges in Digital Pathology Implementation at AUBMC
14:15
 Abdulaziz Alajlan Saudi Arabia
Future of Digital Pathology directions: The untold story
14:30
 Hicham El Attar Morocco
Digital Pathology in Africa : How the dream becomes true
14:45
 Sangeeta Desai India
The agony and ecstasy of digital transformation

CHAIRS
Peter Hufnagl Germany
Riki Merrick United States of America
INVITED SPEAKERS
16:00
 Paul Seegers The Netherlands
An Introduction to Standardized Structured Reporting and Future Perspectives
16:20
 Sabine Leh Norway
Building bridges in pathology: Integrating systems for better diagnostics
ABSTRACTS
16:40
 		Cleo-Aron Weis Germany
What to learn by Pokémon in the field of nephropathology: About generating diagnostic decision trees based on knowledge graphs.
16:50
 		Christoph Jansen Germany
Bridging AI apps and DICOMweb systems via the EMPAIA platform
17:00
 		Tom Bisson Germany
Publishing Pathology Routine Data for Research Use: Technical and Legal Challenges
17:10
 		Francesca Vanzo Italy
Digital Pathology Aid for Telemedicine
17:20
 		Moses Yook Republic of Korea
Procedures for Building a Digital Pathology Data Set for the CODiPAI Project


INVITED SPEAKERS
17:30
 Kevin Sharp
17:15
 Riki Merrick United States of America

CHAIRS
Rasmus Kiehl Germany
Dovile Zilenaite-Petrulaitiene Lithuania
INVITED SPEAKERS
9:00
 Niclas Blessin Germany
The use of BLEACH&STAIN multiplex fluorescence immunohistochemistry and artificial intelligence facilitates the identification of spatial immune prognosis markers in muscle-invasive urothelial cancer
9:20
 Martynas Riauka Lithuania
Multiphoton Digital Histopathology
ABSTRACTS
09:40
 		Julius Drachneris Lithuania
Prognostic significance of the spatial distribution of tumor infiltrating immune cells in of non-muscle-invasive papillary urothelial carcinoma
09:50
 		Sonja Koivukoski Finland
Unstained tissue imaging and virtual HE staining of whole slide images: towards clinical tumor assessment

CHAIRS
Jordi Temprana Spain
Petr Holub Czechia
INVITED SPEAKER
10:00
 Liron Pantanowitz United States of America
Recommendations from the American Society of Cytopathology for AI Use in Cytology
ABSTRACTS
10:20
 		Xiaorong Sun China
AI Cervical Cancer Screening Diagnosis Quality Control

CHAIRS
Rita Carvalho Germany
David Ameisen France
ABSTRACTS
11:00
 		Waleed Ahmad Germany
Development and clinical validation of a prognostic algorithm for stroma-tumor ratio quantification in non-small cell lung cancer
11:10
 		Volker Bruns Germany
Interactive generic analysis of H&E slides using a combination of multiple AIs
11:20
 		Amjad Khan Switzerland
Deep Learning-Based Detection of Lymph Node Metastases of Upper Gastrointestinal Tract Adenocarcinoma
11:30
 		Johanna Palacios Spain
Digital Pathology implementation Journey in a network of 14 hospitals in Spain.
11:40
 		Volodymyr Chapman United Kingdom
Nuclear distribution clusters associate with mutation profile in Follicular Lymphoma
11:50
 		Patrick Stunkel Norway
Real-time Pathology Dashboards for Lab Worker Motivation: An Experience Report
12:00
 		Marek Wodzinski Switzerland
DeeperHistReg: Robust Whole Slide Images Registration Framework
12:10
 		Giorgio Cazzaniga Italy
Enhancing Pathology Report Coding with Advanced NLP Models: A Comparative Study
12:20
 		Shubham Innani United States of America
Deep Learning Subtyping of Multi-institutional Renal Oncocytic Neoplasms from H&E-stained Whole Slide Images

CHAIRS
Junya Fukuoka Japan
Linas Petkevičius Lithuania
ABSTRACTS
14:00
 		Rokas Stulpinas Lithuania
Predicting Survival of HCC Patients after Liver Resection by AI-Driven Fiberomics and Hexagonal Grid Analytics
14:10
 		Volker Bruns Germany
IHC Cell Analysis – More than just Cell Counting: A proposed Workflow
14:20
 		Elias Baumann Switzerland
HoVer-NeXt: A Next Generation Whole Slide Image Nuclei Segmentation and Classification Pipeline
14:30
 		Rita Sarkis Switzerland
MegaQuant: Fully Integrated Deep-Learning Workflow in QuPath - Application to the Detection of Megakaryocytes in Human Bone Marrow
14:40
 		Ozben Yalcin Turkey
Ki-67 Decision Support Algorithm for Pathology Residents
14:50
 		Daan Schouten The Netherlands
Full Resolution Three-Dimensional Reconstruction of Non-Serial Prostate Whole-Mounts: Pilot Validation and Initial Results
15:00 Maximilian Fischer Germany
Semi-supervised automated Gleason Grading on WSI
15:10
 		Elena Osteikaitė Lithuania
Non-linear microscopy for cervical cancer diagnostics
15:20
 		Yasemin TopuzTurkey
Epidermis Segmentation Based on U-Net Variations in Melanoma Whole Slide Images

CHAIRS
Nasir Rajpoot United Kingdom
Sangeeta Desai India
INVITED SPEAKER
16:00
 Luca Cima Italy
Digital Teaching and Learning: Enhancing Pathology Education Through Technology
ABSTRACTS
16:20
 		Ilknur Turkmen Turkey
Histopathology Atlas: An open-source Whole Slide Image (WSI) collection for educational purposes
16:30
 		Thiyaphat Laohawetwanit Thailand
Preparing for pathology boards with ChatGPT: AI-assisted digestive system exam creation for residents
16:40
 		Su Young Kim Republic of Korea
Building online digital pathology library for education using conventional mirrorless cameras.
16:50
 		Xiaoyi Ji Sweden
The impact of temporal variation in digital pathology scanners on diagnostic artificial intelligence models

CHAIRS
Julius Drachneris Lithuania
Vincenzo L'Imperio Italy
PANELISTS
Non-diagnostic time in digital pathology: An empirical study over ten-year period Marius Bagdonas
Standardizing Reporting of Core Needle Biopsy Tortuosity: BiopTort - A Computer Aided Protocol for Grading Tortuosity in Clinical Workflows Jackson Jacobs
AI-powered analysis of tissue slides to reveal the cellular composition and the spatial organization of the tumor microenvironment Rebecca Polidori
Attention-based Multiple Instance Learning to Estimate Risk of Prostate Cancer from Whole Slide Images Teemu Tolonen
Deep learning models for predicting lymph node metastasis in thyroid cancer core needle biopsy samples Kwon Jung Chan
Cancer cell state determines tumor-stroma interaction dynamics and patient survival in head and neck cancer Karolina Punovuori
Validation of an AI-based solution for breast cancer risk stratification using routine digital histopathology images Abhinav Sharma
Vision Transformers for Breast Cancer Classification Laura Rasotto
Investigating the effect of resolution differences on segmentation using Whole Slide Images Melvin Geubbelmans
An educational annotation platform to improve knowledge retention for histopathology Sandrina Martens
Integrated deep learning and graph-based exploration of cellular dormancy in histopathology images of colon cancer Maria Secrier
Attention-based Multiple Instance Learning to Estimate Risk of Prostate Cancer from Whole Slide Images Filip Winzell

CHAIR
Norman Zerbe Germany
INVITED SPEAKER
9:00
 Faisal Mahmood United States of America
Multimodal Generative AI for Pathology

CHAIRS
Diana Montezuma Portugal
Jeroen van der Laak The Netherlands
INVITED SPEAKER
9:30
 Milda Poceviciute Sweden
Foundation models - the end of generalisation challenges in computational pathology?
ABSTRACTS
09:50
 		Mikaël Simard United Kingdom
An attention-based multiple instance learning framework for predicting soft tissue tumour diagnoses
10:00
 		Shi Pan United Kingdom
HistoMIL: A Python package for training multiple instance learning models on histopathology slides
10:10
 		Ajey Pai The Netherlands
Reliable comparisons between AI models and human experts in computational pathology
10:20
 		Stefan Reinhard Switzerland
Bringing data science to AI supported tissue diagnostics
10:30
 		João D. Nunes Portugal
Weakly Supervised Domain Adaptation for Robust Colorectal Pathology Classification
10:40
 		Michelle Stegeman The Netherlands
Vision Language Foundation Models for Scoring Tumor-Infiltrating Lymphocytes in Breast Cancer through Text Prompting
10:50
 		Neda Zamanitajeddin United Kingdom
Benchmarking Domain Generalization Algorithms in Computational Pathology

CHAIRS
Sabine Leh Norway
Daniel Racoceanu France
INVITED SPEAKERS
11:30
 Jeroen van der Laak The Netherlands
Building the AI repository for Europe: the Bigpicture project
11:45
 Peter Hufnagl Germany
How to use EMPAIA for my research projects?
12:00
 Petr Holub Czechia
Leveraging BBMRI-ERIC for XAI Research in Digital Pathology