Scientific Program

9:00 András Matolcsy Hungary
Welcome words from the Congress Presidents
9:05 Norman Zerbe Germany
Welcome words from ESDIP President
9:10 András Kiss Hungary
AI assisted colorectal cancer screening

Inti Zlobec Switzerland
András Kiss Hungary

9:30 Matteo Fassan Italy
Digital pathology and artificial intelligence: new actors in the clinical evolution of pathology
09:50 Raphaël Bourgade (France) et al.
Deep learning for detecting BRCA 1/2 mutations in high-grade ovarian cancer based on an innovative tumor segmentation method from whole-slide images
10:00 Raza Shan (United States) et al.
Detection of STK11 mutation in lung adenocarcinoma from WSIs via self-supervised learning
10:10 Vivien Miczán (Hungary) et. al
The Proteomic Map of Mitosis in Human Tumor Tissue
10:20 Eric Erak (United States) et al.
Predicting Prostate Cancer Molecular Subtype with Artificial Intelligence

Yuri Tolkach Germany
István Csabai Hungary

11:00 Jeroen Van Der Laak The Netherlands
AI for breast cancer diagnostics
11:20 Daniela Rodrigues (United States) et al.
HALO PD-L1 AI: Development and Validation of an Automated PD-L1 Tumour Proportion Scoring Algorithm in Non-Small Cell Lung Cancer
11:30 Shannon Doyle (The Netherlands) et al.
DCIS risk and outcome prediction using a multi-instance-based deep learning approach
11:40 Constance Boissin (France) et al.
Deep learning-based risk stratification of pre-operative breast biopsies using histological images
11:50 Ruoyu Wang (United Kingdom) et al.
Consensus Subtype Classification of HPV+ Cervical Squamous Cell Carcinoma using Routine Histology Slides
12:00 Rajiv Dhir (United States) et al.
Routine Use of an AI Solution for Primary Diagnosis of Prostate Biopsies in Clinical Practice
12:10 Guillaume Balezo (Paris) et al.
An HE-only workflow for liver fibrosis assessment using HE-predicted collagen.
12:20 Sarah Schmell (Germany) et al.
Validation of AI-supported assessment of HER2 gene amplification status in fluorescence in-situ hybridization (FISH) whole slide images

Eva Krpelanova Switzerland
Sabine Leh Norway

14:00 Tibor Glasz Hungary
Informatic solutions for nationwide use in Hungarian digital pathology
14:20 Harriet Evans (United Kingdom) et al.
Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving.
14:30 Cleo-Aron Weis (Germany) et al.
Knowledge Graphs in (Nephro-)pathology for decision tree extraction

András Kiss Hungary
Nina Linder Finland
Janina Kulka Hungary
Balázs Rozványi Hungary

Peter Hufnagl Germany
Peter Boor Germany

16:10 Diana Montezuma Portugal
Bridging Art and Pathology: Annotating for ML/algorithm development in Pathology
16:30 Rémy Peyret (France) et al.
A fully automatic TILs assessment tool
16:40 Tomé Albuquerque (Germany) et al.
Multimodal Identification of Brain Tumor Biomarkers using a Deep Fusion Strategy from MRI and Digital Pathology exams
16:50 Joona Pohjonen (Finland) et al.
HistoEncoder: Building a foundation model for histopathology
17:00 Mira Valkonen (Finland) et al.
How many samples is enough? How will self-supervised pre-training affect model accuracy, robustness and generalisation?
17:10 Abhinav Sharma (Sweden) et al.
Exploring the decision-making of weakly supervised CNN models for histopathology image classification
17:20 Raja Muhammad Saad Bashir (United Kingdom) et al.
Semi-Supervised Contrastive Learning for Semantic Segmentation of Histology Images

Mircea-Sebastian Serbanescu Romania
Renate Kain Austria
14:00 Gabriel Iuliu (Romania) et al.
Digital Pathology awareness on Pathology Residents in Romania – A multicenter study
14:10 Yuri Tolkach (Germany) et al.
Clinical-grade tumor detection and tissue segmentation in colorectal specimens using artificial intelligence tool
14:20 David Anglada (Spain) et al.
A Generic Pipeline for Cell Semantic Segmentation in Histopathological Images
14:30 Linda Studer (Switzerland) et al.
Impact of Scanner Variability on Colorectal Cancer Tumor Segmentation
14:40 Hrafn Weishaupt (Norway) et al.
Deep learning-based segmentation of glomeruli: Detection of erroneous annotations through morphometric analysis
14:50 Suze Roostee (Sweden) et al.
Decoding the Interplay between Immune Response and Somatic Tumour Mutations in Triple-Negative Breast Cancer
15:00 Selim Sevim (Turkey) et al.
Artificial intelligence can be handy in detecting lymph node metastases of common tumors
15:10 Ana Leni Frei (Switzerland) et al.
Swiss national study on the impact of computer-aided diagnosis systems on pathologists’ scoring: an application for tumor cell fraction estimation
15:20 Zehra Talat (Pakistan)
A Novel Deep Learning-Based Mitosis Recognition Approach and Dataset for Uterine Leiomyosarcoma Histopathology
15:30 Paola Chiara Rizzo (Italy) et al.
​​Temporal and geographical insight into the global adoption of DP: a review of the published literature

Andrey Bychkov Japan
Vincenzo L'Imperio Italy

16:10 Junya Fukuoka Japan
Struggle of digital sign out on cytology
16:30 Kazuki Kanayama (Japan) et al.
Respiratory cytology support system using homology profile for clinical application
16:40 Martina Verri (Italy) et al.
Instant Immunohistochemistry in Digital Pathology
16:50 Volodymyr Chapman (United Kingdom) et al.
Automation of cytological grading in Follicular Lymphoma evidences polarising impact of immunochemotherapy in high grade cases
17:00 Henning Höfener (Germany)
A Workflow for efficient creation of high quality cell classification data sets
17:10 Farina Kock (Germany) et al.
Transfer learning for cell detection in bone marrow smears

The Poster Reception will take place at the Valletta Exhibition Center.

The ESDIP Annual General Meeting will take place at the Grand Ballroom. Please note that only ESDIP good-standing members can attend the AGM.

Luca Cima Italy
András Matolcsy Hungary

9:00 Lewis Hassel United States
The OPEN Solution: DP opens the way to solving workforce deficit
09:20 Umair Khan (Finland) et al.
AI-driven multi-organ H&E virtual histopathology staining
09:30 Markus Plass (Austria) et al.
CARVIS-WSI: An open source tool for Cartographic Visualization of the Diagnostic Path on Whole Slide Images
09:40 Mohammad Faizal Ahmad Fauzi (Malaysia) et al.
AI for Digital Pathology (AI4DP) Research Excellence Consortium: An Initiative to Kickstart Digital Pathology Research in Malaysia

Sabine Leh Norway
Inti Zlobec Switzerland
Rajiv Kaushal India
Marcial Garcia Rojo Spain

Norman Zerbe Germany
Dagmar Krefting Germany

11:00 Dagmar Krefting Germany
Interoperability in a dynamically changing healthcare landscape - current trends, challenges and achievements
11:20 Harriet Evans (United Kingdom) et al.
A proposed approach for standardised semantic annotation of digital histopathology slides at the point of diagnosis.
11:30 Yixiao Zhao (United States) et al.
Standarlisation and De-Identification of Whole Slide Images for Digital Pathology Data Management
11:40 Kai Standvoss (Germany) et al.
Image Standardization in Pathology could improve Learnability for AI Models
11:50 Richard Salmon (United Kingdom)
A Pathology of Digitisation in Digital Pathology - Scanner Color Standardisation and QA

12:00 Markus Herrmann Switerzland
Report from DICOM Connectathon

Alex Haragan United Kingdom
Johan Lundin Finland

14:00 Yuri Tolkach Germany
Diagnostic AI algorithms: from development to application
14:20 Zaibo Li (United States) et al.
Artificial intelligence aided detection of sentinel lymph node metastasis on histologic whole slide images in a digital workflow
14:30 Simon Graham (United Kingdom) et al.
Screening of Normal Endoscopic Large Bowel Biopsies with Interpretable Graph Learning
14:40 Spyridon Bakas (United States) et al.
Unsupervised clustering of morphology patterns on whole slide images guide prognostic stratification of glioblastoma patients
14:50 Yun Joo Cho (South Korea) et al.
Prognostic Impact of Tertiary Lymphoid Structures in Epstein-Barr Virus-associated Gastric Carcinomas measured by Digital Image Analysis
15:00 Mostafa Jahanifar (United Kingdom) et al.
Robust and Efficient Detection of Mitotic Figures
15:10 Hilde Smits (The Netherlands) et al.
Using intratumor heterogeneity of IHC biomarkers to classify laryngeal and hypopharyngeal tumors based on histological features
15:20 Giorgio Cazzaniga (Italy) et al.
Amyloid detection through Congo red fluorescence in the digital nephropathology laboratory

Nasir Rajpoot United Kingdom
Dejan Dobi Hungary

16:00 Andrey Bychkov Japan
Transforming Pathology with Emerging Technologies: A Look into the Future
16:30 Mark Eastwood (United Kingdom) et al.
Interactive Model Visualization on Whole Slide Images
16:40 Kim Nijsten (Belgium) et al.
Optimization of immunofluorescence slide digitization
16:50 Daniele Davoli (Italy) et al.
Automated Diagnosis of Pancreatic Cancer through Deep Learning and Ex-vivo Fluorescence Confocal Laser Microscopy: A New Frontier in Digital Pathology
17:00 Sangjoon Choi (South Korea) et al.
Direct comparison of GeoMX DSP and OPAL multiplex immunohistochemistry for tumor immune microenvironment study
17:10 Hans M Hertz (Sweden) et al.
Laboratory phase-contrast imaging for 3D tumor resection margin assessment

Mikael Björnstedt Sweden
Arvydas Laurinavicius Lithuania

9:00 Jordi Temprana Spain
Hunting Unicorns: Digital Pathology Workflow at the Catalan Health Institute (ICS). DigiPatICS Project.
09:20 Amjad Khan (Switzerland) et al.
Streamlining, executing and validating AI algorithms on remote HPC infrastructure: An integrated approach
09:30 Rutger Fick (France) et al.
End-to-End Spermatozoid Detection in Cytology WSI: A success story in Forensic Pathology Workflow Optimization
09:40 Anna Tregubova (Russia) et al.
Abstract title: Automatic Counting of HPV Viral Capsid Proteins expression on Whole Slide Images for Cervical Intraepithelial Lesions Diagnostics
09:50 Stéphane Sockeel (France) et al.
Automatic Detection of Lymphovascular Emboli in Whole Slide Breast Histopathology Images
10:00 Philipp Nolte (Germany) et al.
Post-Sectioning Verification and spatial Correlation of 2D histological Slices with 3D CT-Scans through 3D printed Phantoms
10:10 Yukako Yagi (United States) et al.
Whole Tissue Imaging and Whole Block Imaging in Pathology Practice and Research
10:20 Patrick Stünkel (Norway) et al.
Pathology process modelling with Petri-nets on event logs

Diana Montezuma Portugal
Jeroen Van Der Laak The Netherlands

11:00 László Székely Sweden
Practical aspects of data extraction from digital images
11:20 Tripti Bameta (India) et al.
PathCaptcha: Crowd-sourcing image labeling from experts
11:30 Mieko Ochi (Japan) et al.
Large-scale histological image dataset with various H&E stain conditions and devices including smartphone for the robust model development
11:40 Christoph Jansen (Germany) et al.
SlideMaps: An EMPAIA specification for storage and visualization of pixel-wise overlays on Whole Slide Images

Lilla Madaras Hungary
Peter Hufnagl Germany

11:50 Anirban Mukhopadhyay Germany
The Untold Story behind Privacy-Preserving Federated Pathology
12:10 Peter Caie (United States)
Automated Artificial Intelligence-Powered Artifact Detection for Quality Control of Whole-Slide Digital Pathology Images
12:20 Mélissande Cossutta (France) et al.
Digital Image Analysis as a Standardized Method for External Quality Assessment of HER2 IHC in Breast Cancer

András Kiss Hungary
Rasmus Kiehl Germany

14:00 Jochen Lennerz United States
Unlocking the power of integrated diagnostics for better patient care - A focused approach for clinical implementation
14:20 Neda Zamanitajeddin (United Kingdom) et al.
Integrating Social Network Analysis and Deep Learning for Improved Prediction of Molecular Pathways in Colorectal Cancer
14:30 Mauro Gwerder (Switzerland) et al.
Characterizing the expression landscape of colorectal tumor buds by machine-learning based analysis of seqIF images
14:40 Giorgio Cazzaniga (Italy) et al.
A combined digital and molecular approach to precision oncology: the lung and breast cancer use cases
14:50 Natalie Munch Jepsen (Denmark) et al.
Infiltration of lymphocytes assessed by deep learning-based algorithms and the association with response to neoadjuvant therapy in rectal cancer
15:00 Subhash Yadav (India) et al.
Using Deep Learning on H&E stained Histopathology Slides for HPV Detection in Head Neck Cancer
15:10 Dejan Dobi (Hungary) et al.
Digital pathology and gene expression analysis as potential tools of standardization for renal transplant pathology
15:20 Sanja Despotović (Serbia) et al.
Altered organization of collagen fibers in the uninvoled human colon mucosa 10 cm and 20 cm away from the colorectal cancer

Yuri Tolkach Germany
Anirban Mukhopadhyay Germany

16:00 Marie-Lisa Eich Germany
SemiCOL Challenge: a focus on the clinical perspective
16:20 Jonathan Stieber Germany
SemiCOL Challenge: Technical Aspects and Evaluation Results

Norman Zerbe Germany
Vincenzo L'Imperio Italy

9:00 Andrew Smith Italy
Rendering the invisible visible: Adding a molecular dimension to pathology with mass spectrometry driven spatial omics
9:20 Miklós Szócska Hungary
Data-driven health as systems capability
09:40 Sonja Koivukoski (Finland) et al.
Unstained tissue imaging and virtual HE staining of whole slide images: an assessment of histological feasibility
09:50 Miklós Vincze (Hungary) et al.
3D visualization in digital pathology using VR technology
10:00 Aray Karjauv (Germany) et al.
Neural Style Transfer as a Service
10:10 Bence Biricz (Hungary) et al.
The fundamental points of testing a pathological virtual reality software
10:20 Teodora Trandafir (The Netherlands) et al.
Artificial Intelligence-Aided Three-Dimensional Quantification of Thrombosis Occurrence in Lungs Affected by COVID-19

Norman Zerbe Germany
Junya Fukuoka Japan
Liron Pantanowitz United States

Rita Carvalho Portugal
Vincenzo Della Mea Italy

12:30 Nasir Rajpoot United Kingdom
Interpretable AI for Pathology
12:50 Felipe Miranda Ruiz (Germany) et al.
Using CNN Stability Training increases robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology
13:00 Yoni Schirris (The Netherlands) et al.
DeepSTIL: a robust deep-learning based tumor-infiltrating lymphocyte scoring pipeline trained solely on open source data
13:10 Matej Gallo (Czech Republic) et al.
Shedding Light on the Black Box of a Neural Network Trained to Detect Prostate Cancer in Whole Slide Images by Occlusion-Based Explainability
13:20 Ana Leni Frei (Switzerland) et al.
Merging local cell feature and global tissue structure to learn accurate epithelial cell classification on H&E images