ECDP2026 introduces an important new feature in the organization of its poster sessions. For the first time, posters will be distributed across four thematic areas, designed to reflect the congress’s main scientific themes.
This new distribution will allow for a more structured presentation of the scientific work and foster more meaningful interactions among authors and participants with shared research interests.
Below, you will find a detailed overview of the poster allocation, indicating which posters are assigned to each thematic area.
Poster Area 1 | Poster Area 2 | Poster Area 3 | Poster Area 4
| P01 | Deep Learning-Based Automated Detection of Giardia lamblia in Duodenal Biopsies Lauren DeLong (United Kingdom) et al. |
| P02 | CORE: A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-Stain Whole-Slide Image Alignment Esha Sadia Nasir (United Kingdom) et al. |
| P03 | Best Practices for Ground Truth Annotation in Epithelial Tumor Detection: An Industry Perspective Corina Cotoi (Germany) et al. |
| P04 | CHIMERA Challenge: Response Subtypes and Recurrence Predictions in Bladder Cancer Patients Using Multimodal Datasets Catherine Chia (Netherlands) et al. |
| P05 | Comparative Analysis of End-to-End Learning and Foundation Models for Clinical-Grade Prostate Pathology Nita Mulliqi (Sweden) et al. |
| P06 | Automated Quantification of Tumour Length in Digitised Prostate Core Needle Biopsies by Rule-Based Algorithm Luana Xuan Liu (Sweden) et al. |
| P07 | Scaling Supervised Pathology Foundation Models through Slide-Level Multi-task Learning Till Nicke (Germany) et al. |
| P08 | Conformal Prediction for Reliable Gleason Grade Classification Sol Erika Boman (Sweden) et al. |
| P09 | Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling Sander Moonemans (The Netherlands) et al. |
| P10 | Towards Morpho-Molecular Learning in Computational Pathology Vasco Coelho (Italy) et al. |
| P11 | Resource-Agnostic Microsatellite Instability Prediction from H&E Images Using Foundation Model Features in Digital Pathology Esha Sadia Nasir (United Kingdom) et al. |
| P12 | Development of an AI-Based Bone Marrow Differential Cell Count System Devansh Lalwani (India) et al. |
| P13 | Data-Efficient Prostate Cancer Screening Using Pathology Foundation Model Features: A Cross-Institutional Retrospective Evaluation Mateusz Maniewski (Poland) et al. |
| P14 | AI-Based Glomerulosclerosis Scoring Method for Rodents Using Deep Learning Karoline Miladinovic (Denmark) et al. |
| P15 | Bayesian Few-Shot Learning for Isolated Tumor Cell Detection in Lymph Node Whole-Slide Images Burhanuddin Anis (United Kingdom) et al. |
| P16 | Robust Pan-Cancer Mitotic Figure Detection with YOLOv12 Raphaël Bourgade (France) et al. |
| P17 | AutoDuo: Multi-Centre Validation of an AI Triage System for Automated Sign-Out of Normal Duodenal Biopsies Florian Jaeckle (United Kingdom) et al. |
| P18 | Chronic Endometritis: A Meaningful Definition and Standardized Stratification Using Spatial CD138-Based Classification Guillaume E. Courtoy (Belgium) et al. |
| P19 | Efficient Classification of Atypical versus Normal Mitotic Figures Using LoRA-Fine-Tuned Foundation Models Esha Sadia Nasir (United Kingdom) et al. |
| P20 | Limited Cross-Cohort Generalization of Foundation Models for Lung Adenocarcinoma Growth Pattern Classification Laura Valeria Perez-Herrera (Spain) et al. |
| P21 | Sensitivity-Aware Dual-Head MIL for Prostate Biopsy Screening Using Foundation Model Features Mateusz Maniewski (Poland) et al. |
| P22 | Towards Transparent AI in Computational Pathology: Multimodal Concept Learning for Clinical AI Gregory Verghese (United Kingdom) et al. |
| P23 | Cross-Domain Generalization of Histopathology Foundation Models: A Comparative Evaluation in Multicenter, Multi-Scanner Cohorts Hafsa Akebli (Italy) et al. |
| P24 | Automated Segmentation and Quantification of Histological Liver Features for MASH/MASLD Scoring Kristin Spirgath (Germany) et al. |
| P25 | Hierarchical Generalized Category Discovery for Brain Tumor Classification Matthias Perkonigg (Austria) et al. |
| P26 | Gastritis Diagnosis: How Atrophy Is the Achilles' Heel for Multiple-Instance Learning AI Systems Pedro C. Neto (Portugal) et al. |
| P27 | Federated Foundation Models for Computational Pathology Reza Nasirigerdeh (Germany) et al. |
| P28 | Beyond Tile Embeddings: A Geometry-Aware Nuclei Foundation Model Matěj Pekár (Czech Republic) et al. |
| P29 | AI-Based Algorithm Using H&E and IHC Whole-Slide Images for Recurrence Prediction in SLN-Negative Melanoma Andrea Lupo (Italy) et al. |
| P30 | Leveraging Crowdsourced Keypoint Correspondences to Guide Region of Interest Localization in Cross-Stain Whole Slide Image Registration Alessio Fiorin (Spain) et al. |
| P31 | Multimodal Phasor Analysis for Digital Pathology: Quantitative Characterization of Liver Iron Overload Davide Panzeri (Germany) et al. |
| P32 | Hypercomplex Color Pipelines for Digital Pathology Nektarios A. Valous (Germany) et al. |
| P33 | From Black Box to Biology: DIMAFx Reveals Key Interactions of Tissue Morphology and Gene Expression in Cancer Survival Prediction Aniek Eijpe (The Netherlands) et al. |
| P34 | Leveraging High-Quality Annotations for Efficient Skin Lesion Segmentation and Classification Youssef Karout (France) et al. |
| P35 | Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models Adam Kukučka (Czechia) et al. |
| P36 | Adapting Deep Learning to Site-Specific IHC Variations with Limited Annotations Marcin Kuźniar (Poland) et al. |
| P37 | Closing the Paediatric Gap: Adult-Trained AI Generalises Robustly to Paediatric Coeliac Disease Diagnosis Florian Jaeckle (United Kingdom) et al. |
| P38 | Beyond Counts: Margin-Aware Robustness Metrics for Pathology Foundation Models Clément Grisi (Netherlands) et al. |
| P39 | Benchmarking WSI Privacy: A Challenge on Linkage Attacks and Synthetic Data Anonymization Jakub Pekár (Czechia) et al. |
| P40 | An Interpretable Digital Morphometry Model on Whole-Slide Images for Grading Alveolar Overinflation Severity in Porcine Lungs After Organ Care System Ex Vivo Lung Perfusion Giuseppe Maggioni (Italy) et al. |
| P41 | Validation of Artificial Intelligence (AI) Tools for Detecting Lymph Node Metastases in Gastric and Colonic Cancer Rajiv Kaushal (India) et al. |
| P42 | Vision Hema AI Validation: Why Clinical Context Matters Ingrid Brezaniova (Austria) |
| P43 | KongNet: A Multi-Headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images Jiaqi Lv (United Kingdom) et al. |
| P44 | Label-Free Coreset Selection with Foundation Models for Efficient Annotation in Computational Pathology Tuo Yin (Belgium) et al. |
| P45 | Towards Tumor-Agnostic IHC Cell Detection and Classification Elin Samuelsson (France) et al. |
| P46 | Automated AI-Assisted Preantral Ovarian Follicle Staging in Mice Susanne Pors (Denmark) et al. |
| P47 | Deep Learning-Based Classification of Prostate Cancer in TURP Whole-Slide Images Nefise Uysal (Netherlands) et al. |
| P48 | Training Deep Learning Models for Lung Histopathology Segmentation Without Real Data Frauke Wilm (Germany) et al. |
| P49 | Explaining Digital Pathology Models via Clustering Activations Adam Bajger (Czech Republic) et al. |
| P50 | ClinSim: Clinically Grounded Evaluation of AI-Generated Medical Reports Based on SNOMED-CT Judith Lefkes (Netherlands) et al. |
| P51 | Privacy-Preserving Swarm Learning for Multicenter Generative Modeling and Harmonization of Whole Slide Images in Digital Pathology JieFu Zhu (Germany) et al. |
| P52 | Next-Generation Breast FNAC Diagnostics: Leveraging Convolutional Neural Networks for Cytomorphologic Precision Neha Singh (India) et al. |
| P53 | Beyond Classification: Benchmarking Report Generation Against Weakly Supervised Learning in Prostate Cancer Christian Grashei (Germany) et al. |
| P54 | Deep Learning-Based Classification of Tubular Lesions in Digital Nephropathology Haakon Alexander Flink (Norway) et al. |
| P55 | Joint Patch Segmentation and Whole-Slide Classification in a Unified End-to-End Framework Fabian Sinzinger (France) et al. |
| P56 | AI-Driven Prognostic Evaluation in Uveal Melanoma Through Automated Nucleolar Analysis Ahlem Bdioui (Tunisia) et al. |
| P57 | Sparkling Science Project “DigiPath Cancer Fight” Reaching Pupils Through Digital Pathology – Hannah-Maria Stummer (Austria) et al. |
| P58 | Discrete-Event Simulation-Driven Equipment Capacity Optimisation for High-Volume Histopathology Services A Filipe Pereira (United Kingdom) et al. |
| P59 | Optimizing Thyroid Pathology Workflows: The Role of Section Thickness and Slide Type João Vale (Portugal) et al. |
| P60 | Ex Vivo Fluorescence Confocal Microscopy (EVFCM) and Rapid On-Site Digital Histopathological Evaluation (RODE) in Digestive Endoscopy: A Real Life Experience Moira Ragazzi (Italy) et al. |
| P61 | TIAgent: Enabling Code-Free Computational Pathology Workflows in Natural Language Aakash Madhav Rao (United Kingdom) et al. |
| P62 | Supporting Workforce Excellence Through Digital Education Chantell Hodgson (United Kingdom) et al. |
| P63 | PAIX: Agent-Assisted Harmonization for Multimodal Digital Pathology and Integrative Diagnostics John K.L. Wong (Germany) et al. |
| P64 | Interoperable Digital Pathology Implementation for Workflow-Based AI Teleconsultation Francesca Vanzo (Italy) et al. |
| P65 | Impact of Quantitative Image Analysis of Histological Slides on Downstream Clinical and Research Applications Nickels Winkler (Germany) et al. |
| P66 | Pathologists’ First Real-World Encounters With AI: Views on Acceptance, Liability Concerns and Workflow Fit Margaret Horton (United Kingdom) et al. |
| P67 | Development of a Metadata Catalog for Whole Slide Images with Integrated Governance Management Carmen Zerner (Austria) et al. |
| P68 | Tape Versus Glass Coverslipper: A Quality and Speed Comparison in Microscopic and Digital Image Quality Jagruti Kadam (India) et al. |
| P69 | Automated Pipeline for De-identification of Whole Slide Imaging Files Using DICOM: An Institutional Implementation Joshua Tashman (United States) et al. |
| P70 | Clinical Translation and Prospective Evaluation of MetAssist 1.0 for Lymph Node Metastasis Detection in Colorectal Cancer Amjad Khan (Switzerland) et al. |
| P71 | Can AI Support Improve the Usability of a Gaming Device for Evaluating Digital Histological Specimens? Florian Winkler (Austria) et al. |
| P72 | Real Life Scanning Time in Digital Pathology Serdar Balci (Türkiye) et al. |
| P73 | AI-Assisted Mitotic Counting Improves Inter-Observer Consistency and Efficiency in Multi-Site Validation Study Simon Graham (United Kingdom) et al. |
| P74 | Organizational Impact of an AI-Based Pre-Screening Tool for the Diagnosis of MMR/MSI Status in Patients with Colorectal Cancer (CRC) Hortense Deslandes (France) et al. |
| P75 | Digital Pathology Adoption and Readiness in Malaysia: A Cross-Sectional Survey of a Middle-Income Country Elaine Wan Ling Chan (Malaysia) et al. |
| P76 | Noninferiority of Whole Slide Imaging Versus Conventional Microscopy for Primary Diagnosis in Surgical Pathology: A Systematic Review and Meta-Analysis of Randomized Trials Syed Bilal Tanvir (United Kingdom) |
| P77 | Multimodal Fusion Models for Colorectal Cancer Survival Prediction Miljana Shulajkovska (Slovenia) et al. |
| P78 | Comparative Analysis and Performance of the Three Different Scanners Using Histopathology Stained Slides Dipeeka Rane (India) et al. |
| P79 | Efficiency of Digital Intradepartmental Consultation on Workflow in a Multi-Center Pathology Network Fatma Yildirim (Türkiye) et al. |
| P80 | AI Implementation into Routine Clinical Service: Lessons from Germany Tertiary Academic Medical Center Carolin Mogler (Germany) et al. |
| P81 | Optimized Digital Pathology Workflow for Automated Multiplex IHC Analysis of Tumor Immune Microenvironment in Breast Cancer Federico Di Cocco (Italy) |
| P82 | Measurement of Stromal Expression of Hormone Receptors in Breast Cancer: A Reproducible Digital Pathology Workflow Ceren Boyaci (Sweden) et al. |
| P83 | MarrowMind: A Smartphone Application for Automatic Bone Marrow Smear Analysis for Leukemia Diagnosis Farina Kock (Germany) et al. |
| P84 | Anytime, Anywhere Cytopathology: Elevating Diagnostic Accuracy Through Digital Practice Chantell Hodgson (United Kingdom) et al. |
| P85 | Beyond Implementation: Using Digital Pathology EQA to Support Quality, Standardisation and Participant Confidence at Scale Lorren Mitchell (United Kingdom) |
| P86 | Technician-Centric AI Quality Control for Whole-Slide Imaging: Slide-Level Concordance With Manual Review and Operational Time Savings Mustafa Yousif (United States) et al. |
| P87 | Temporal Stability Limits of AI-Based Pathology: A Longitudinal Stress Test of Gleason Grading Models Anders Blilie (Norway) et al. |
| P88 | Comprehensive Clinical Evaluations of 37 Digital Pathology Slide Scanners Adler Ju (Hong Kong) et al. |
| P89 | Digital Pathology Scanner Color and Tonal Quality The Start of the Journey – Rick Salmon (United Kingdom) et al. |
| P90 | Clinical Implementation of AI Driven Automated QC in a Large Tertiary Cancer Center Kaitlyn Gelfant (United States) et al. |
| P91 | The GrandQC: The Desolation of Artefacts Adaptation of an Open-Source Tool for Quantification of Artefacts in a WSI Biopsies Day – Gonçalo Borrecho (Portugal) et al. |
| P92 | From Visual Fidelity to Diagnostic Robustness: Benchmarking Virtual Staining Models under Adversarial Perturbations in Breast Histopathology María Blanco (Spain) et al. |
| P93 | Staining Intensity Performance of Two Agilent Dako Pathology Systems Using AI Based Quantitative Quality Control Tool Qualitopix Ian Langton (Denmark) |
| P94 | Image Quality Assessment through Spatially Aware Focus Analysis in Digital Cytology Workflows Chan Kwon Jung (Republic of Korea) et al. |
| P95 | Gastroscopy AI Tool Implementation Stage Evaluation Lasse Nieminen (Finland) et al. |
| P96 | Clinicopathological Comparison of Right- and Left-Sided Colorectal Carcinomas and Utility of MsPath Score for Predicting MSI-H Status in a Sri Lankan Cohort AV Tharangi Damayanthi (Sri Lanka) et al. |
| P97 | Assessing the Diagnostic Accuracy of ChatGPT-4 in the Histopathological Evaluation of Liver Fibrosis in MASH Davide Panzeri (Germany) et al. |
| P98 | A Multi-Magnification Navigation Agent for Whole-Slide Pathology to Support Pathologists’ Decision-Making Zhengyang Xu (Germany) et al. |
| P99 | CAD-Assisted Histological Diagnosis in Prostate Mapping: A Multicentric Italian Experience of the AI-FLOPP Study Moira Ragazzi (Italy) et al. |
| P100 | SpatialBench: Can Agents Analyze Real-World Spatial Biology Data? Kenny Workman (United States) et al. |
| P101 | SWOT Analysis of the Integration of an AI-Based Self-Learning Chatbot in the Activity of a Center for Autoimmune Diseases Aleksandr Peshkin (Russia) et al. |
| P102 | Investigating Test-Time Training for Patch Classification in Computational Pathology under Dataset Bias Pascal Klöckner (Switzerland) et al. |
| P103 | A Model-Agnostic Fairness Auditing Framework for Medical Imaging AI: Evidence from Alzheimer’s Disease Classification Ana Mateo Motos (Spain) et al. |
| P104 | Anomaly Detection of Cutaneous Metastasis under Domain Shifts Using Whole-Slide Images Natalia P. García-de-la-Puente (Spain) et al. |
| P105 | xOpat The Digital Pathology Viewer – Jiří Horák (Czech Republic) |
| P106 | Design and Implementation of an Open-Source Integrated Digital Pathology Workflow with DICOM WSI Management and AI-Assisted Analysis Chung-Yueh Lien (Taiwan) et al. |
| P107 | Automated Segmentation of Mononuclear Cell Infiltrates in H&E Slides of Drug Safety Studies José Teixeira (The Netherlands) et al. |
| P108 | Weakly Supervised Deep Learning for Anaplasia Classification in Wilms Tumor Whole-Slide Images Ananda van der Kamp (The Netherlands) et al. |
| P109 | Assessment and Automated Detection of Tumour Deposits in Colorectal Cancer Whole Slide Images Nina Baumgartner (Switzerland) et al. |
| P110 | Mapping AI-Derived Histological Prototypes with Spatial Transcriptomics for a Refined Subtyping of Undifferentiated Pleomorphic Sarcoma Dilara Karaoglu (Germany) et al. |
| P111 | Automated Clinically Relevant Lymph Node Metastases of Squamous Cell Carcinoma Across Multiple Sites Swapnil Rane (India) et al. |
| P112 | Cross-Organ Standalone Performance of a Gastric-Trained Artificial Intelligence Algorithm in Esophageal Biopsies Giuseppe Mallel (Israel) et al. |
| P113 | Generalizable Deep Feature Extraction for Single Cell Level Analysis of Tissue and Cell Type Classification Niloufar Rahimizadeh Asli (Finland) et al. |
| P114 | Transformer-Based Multiple Instance Learning for Mutation Prediction from Whole-Slide Images Giovanni Laganà (Italy) et al. |
| P115 | GLIOMETER: Automated Quantification of Tumor Cell Content in High-Grade Gliomas from H&E Whole-Slide Images Éléa Gros (Switzerland) et al. |
| P116 | Leveraging H&E Histopathology to Model Patient Heterogeneity and Improve Clinical Trial Efficiency Bojana Pocuca (Finland) et al. |
| P117 | Integrating Heatmap-Based Model Explanations and Large Language Models for Interpretable Banff Scoring Devansh Lalwani (India) et al. |
| P118 | Interpretable Survival Prediction from Single-Cell RNA-seq via Metacell-Based Attention Multiple Instance Learning Laure Ciernik (Germany) et al. |
| P119 | From Unstructured Pathology Reports to Annotated Biomarker Datasets Using Large Language Models Fabian Gülhan (Germany) et al. |
| P120 | Multi-Modal Integration of Hyperspectral Chemical Imaging and Transcriptomics for Colorectal Cancer Consensus Molecular Subtyping Mohd Rifqi Rafsanjani (Ireland) et al. |
| P121 | Foundation Models for Gland Segmentation in Histopathological Whole Slide Images Hanga Tárkányi (Finland) et al. |
| P122 | Linking Histology to Molecular Signatures: An AI Framework for Guiding Personalized Treatment of Inflammatory Skin Diseases Melissa Ensmenger (Switzerland) et al. |
| P123 | Ploidy Estimation from Sarcoma Histopathology Using Weakly Supervised Graph Neural Networks Masoomeh Rahimpour (Belgium) et al. |
| P124 | An Automated Training-Free Framework for Ki67 Quantification Ana Beatriz Vieira (Portugal) et al. |
| P125 | Crowdsourcing Enables Robust Cell Annotation for Breast Cancer Pathology Pascal Klöckner (Netherlands) et al. |
| P126 | Paving the Way for Fully Automated BCC Reporting: A BCC Detection Framework Using Self-Supervised Anomaly Detection for Dangerous Neoplasms Ivan R. Slootweg (Netherlands) et al. |
| P127 | Clinical Performance of an AI-Based Decision Support System for Skin Tumor Classification and Mitosis Detection in Dermatopathology: Results of the SkinPerf2026 Multi-Reader Study Marie Sockeel (France) et al. |
| P128 | CDxTRG+: An Automated Tumor Regression Grading Tool for Esophageal Adenocarcinomas Sabina Köfler (Austria) et al. |
| P129 | Interpretable Deep Learning for Coeliac Disease Diagnosis Using Morphological Feature Extraction from Duodenal Biopsies Rebekah Bryant (United Kingdom) et al. |
| P130 | TuroTrain: Foundation Model-Based Prediction of Microsatellite Instability in Endometrioid Endometrial Cancer Swapnil Bhat (India) et al. |
| P131 | Bridging Polarimetric Imaging and Brightfield Histopathology Through AI-Driven Polychromatic Polarization Microscopy Martynas Riauka (Lithuania) et al. |
| P132 | The Impact of Artificial Intelligence Assistance on Interobserver Agreement in ER, PR, HER2, and Ki-67 Assessment Fadime Gul Salman (Türkiye) et al. |
| P133 | Retrospective Clinical Validation of an AI Algorithm for Mitosis Quantification in Breast Carcinoma and Cutaneous Melanoma María Inés Catalani (Spain) et al. |
| P134 | Weakly Supervised Approach for HPV Status Prediction in Oropharyngeal Carcinoma from H&E-Stained Slides Angela Crispino (Italy) et al. |
| P135 | Leveraging Pathology Foundation Models for Predicting Homologous Recombination Deficiency (HRD) from Routine Histopathology in Ovarian Cancer Marica Vagni (Italy) et al. |
| P136 | Annotation-Efficient and Reliable Tumor-Infiltrating Region Identification and Density Stratification in Colorectal Cancer Histopathology Images: Expert-in-the-Loop Approach Azar Kazemi (Iran) et al. |
| P137 | From Ambiguity to Standardisation: Interpretable Morpho-Spatial Modelling of DCIS Grade with Cross-Panel Validation Kastytis Sidlauskas (United Kingdom) et al. |
| P138 | Size Matters: Exploring the Morphological Prototypes of Adipocytes within Breast Tissue Phoenix Wilkie (Canada) et al. |
| P139 | Decoding Tumor Cell Nuclei Eccentricity and Nuclear Area as Prognostic Features of Lung Squamous Cell Carcinoma – Marco Rosati (Germany) et al. |
| P140 | Algorithm-Based Reclassification of HER2 IHC 0 Breast Carcinomas Fatma Tokat (Turkey) et al. |
| P141 | A Public Pediatric Bone Marrow WSI Dataset and AI Benchmarks for Leukemia Diagnosis Henning Höfener (Germany) et al. |
| P142 | Learning Prognosis from Morphology Alone: Evaluating Diagnosis-Agnostic and Diagnosis-Aware Multiple-Instance Learning Models in Chronic Kidney Disease Yvan Belakebi-Joly (Norway) et al. |
| P143 | Explainable AI Enabled Prediction of Lung Cancer Outcomes Using Large Scale DNA Organization (LDO) Calum MacAulay (Canada) et al. |
| P144 | N2EAC: A Reliable Multi-Backbone Ensemble Framework for Improved Histopathological Esophageal Tissue Morphological Subtyping Azar Kazemi (Germany) et al. |
| P145 | An Interpretable Causal Framework for Digital Pathology of Tumor-Immune Dynamics in Neoadjuvant Breast Cancer Maria Colomba Comes (Italy) et al. |
| P146 | Bypassing the Annotation Bottleneck: A Novel Approach to ITC Segmentation in HDAB-Stained WSIs Jakub Pekár (Czechia) et al. |
| P147 | Multifactorial Analysis of Deep Neural Network Training Methods for Histological Liver Image Segmentation Ashot Melikbekyan (Russia) et al. |
| P148 | Unlocking the Potential of Deep Learning-Based Detection and Quantification of Tumor Infiltrating Lymphocytes in Gastroesophageal Adenocarcinoma Ylva A. Weeda (Netherlands) et al. |
| P149 | The Proteomic Landscape of Lung Adenocarcinoma Vivien Miczan (Hungary) et al. |
| P150 | Towards Scalable Computational Biomarkers: Predicting BRAF Mutation Status from Melanoma Whole Slide Images Lucy Godson (United Kingdom) et al. |
| P151 | Enhancing Risk Stratification in Prostate Cancer: Validation of an AI Solution for the Identification of Cribriform Gleason Pattern 4 Ivan Zaletel (Serbia) et al. |
| P152 | Unmasking Molecular Identities: A Comparative Study of Graph and Attention Models for Image-Derived CMS Subtyping Lucas Erlacher (Switzerland) et al. |
| P153 | Automated Classification of Salivary Gland Tumors Using Weakly Supervised Deep Learning Angela Crispino (Italy) et al. |
| P154 | Clinically Relevant Single-Task Benchmarking of Histopathology Foundation Models for Classical Hodgkin Lymphoma Subtyping Hicran Aldemir (Turkey) et al. |
| P155 | Toward Generalizable Breast Cancer Segmentation: BEETLE, a Multicenter, Multiscanner, Morphologically Rich Dataset Carlijn Lems (Netherlands) et al. |
| P156 | Computational Analysis of Collagen Fiber Orientation Longitudinal Changes Reveals Race-Based Differences in Breast Tissue Sanyukta Adap (United States) et al. |
| P157 | Hierarchical Multiple Instance Learning for Ewing Sarcoma Differential Diagnosis Using Whole Slide Images Pablo Meseguer (Spain) et al. |
| P158 | An AI-Based Mechanoclassifier for Predicting Clinical Outcome in Triple-Negative Breast Cancer (TNBC) Patients Mattia Tonani (Italy) et al. |
| P159 | Digitally Assessed Features of the Tumor Microenvironment as a Predictor of Lymph Node Metastasis and Distant Recurrence in Patients with pT1 Colorectal Cancer Kamilla Maria Bech Johannesen (Denmark) et al. |
| P160 | Robust Automated Quantification of Tumour Area in Lung Cancer Whole-Slide Images Across Diverse Histologic Subtypes Rushabh Mehta (India) et al. |
| P161 | Linear Separability of Histopathology Foundation Model Embeddings of Stimulated Raman Histology Images for Lung Carcinoma Subtyping Karl-Moritz Schröder (Germany) et al. |
| P162 | Diagnostic Performance of an Artificial Intelligence Algorithm for Lymph Node Metastasis Detection in Breast Cancer Aslı Çakır (Turkey) et al. |
| P163 | Comparative Evaluation of Deep Learning Models for Mast Cell Counting in DNCB-Induced Atopic Dermatitis Mice Kyung-Ku Kang (South Korea) et al. |
| P164 | Text-Guided Tumor Segmentation on Skin Whole Slide Images Using an In-House Platform Rocío del Amor (Spain) et al. |
| P165 | AI-Driven Prognostic Modeling of Gynecologic Smooth Muscle Tumors of Uncertain Malignant Potential Using Multi-Magnification Histopathology Images Van-Linh Le (France) et al. |
| P166 | Validation of a De-Identification Pipeline for Pathology Reports Melis Erdal Cesur (Netherlands) et al. |
| P167 | Morphometric Assessment of Main Myocardial Components Depending on Age and Sex Iancu Emil Pleșea (Romania) et al. |
| P168 | Comparing Scanner-Based and Microscope-Based Workflows for Ki-67 Quantification in Breast Pathology Swapnil Bhat (India) et al. |
| P169 | Predicting BRAF Situation in Melanoma Cases Using Digitalized Slides Omer Faruk Dilbaz (Turkey) et al. |
| P170 | Enhancing Physicians’ Adherence to the 2023 Sudan Malaria Case Management Protocol Using AI as an Intervention Tool Abdulrahman Abbas Yusuf Mohammed (Sudan) et al. |
| P171 | AI-Based Quantification of Nucleolar Prominence Improves Survival Stratification in Renal Cancer Alexey Fayzullin (Russia) et al. |
| P172 | Systematic Evaluation of Clinical Covariates for Multimodal WSI-Based Survival Prediction for Colorectal Cancer Vahid Anari (Czech Republic) et al. |
| P173 | Deep Learning–Based Automated Detection of Tuberculosis Granulomas in Digital Histopathology Slides from a High-Burden, Conflict-Affected African Region Michael Kutte (Nigeria) et al. |
| P174 | Toward Reproducible Coronary Stenosis Assessment in Forensic Autopsy Histology: A Deep Learning Whole-Slide Imaging Tool Shakiba Sharifi (Italy) et al. |
| P175 | Geometrical Properties of Whole Slide Images Determine Tissue Composition and Assist in Clinical Decision Support Christoph Blattgerste (Germany) et al. |
| P176 | Integrative Digital Pathology for Multimodal Prognostic Modeling in Clear Cell Renal Cell Carcinoma Dovile Zilenaite-Petrulaitiene (Lithuania) et al. |
| P177 | Immune Cell Classification in Renal Multiplex Immunofluorescence Images Using Deep Learning: Application to Cytomegalovirus-Associated Nephropathy Esha Sadia Nasir (United Kingdom) et al. |
| P178 | Histological Classification of High-Grade Digestive Neuroendocrine Neoplasms Using an Advanced Deep Learning Model Matthieu Tihy (France) et al. |
| P179 | Multiparameter Imaging Reveals Clinically Relevant Cancer Cell–Stroma Interaction Dynamics in Head and Neck Cancer Karolina Punovuori (Finland) et al. |
| P180 | Dual-Foundation-Model Ensemble Predicts Gene Expression in Muscle-Invasive Bladder Cancer (MIBC) for Patient Outcome Stratification Ingvild Froeberg Mathisen (Germany) et al. |
| P181 | Calibrating Digital Twins from Routine Histopathology Pirmin Schlicke (Austria) et al. |
| P182 | Performance of H-optimus-0 Foundation Model for Histological Grading of Lung Adenocarcinoma Maxime Gassier (France) et al. |
| P183 | AI-Mapping the Cellular Immune Microenvironment of Pancreatic Ductal Adenocarcinoma Kristijan Skok (Austria) et al. |
| P184 | Harnessing AI in the Digital Pathology Era The Egyptian Experience – Essam Ayad (Egypt) |
| P185 | Deep Learning–Guided Identification of Signet Ring Cells in Hereditary Diffuse Gastric Cancer Stefano Gobbo (Italy) et al. |
| P186 | AI Models Recapitulate the Low Overlap Between Radiology and Pathology in Prostate Cancer Detection Ana Sofia Castro Verde (Portugal) et al. |
| P187 | Phase IV Clinical Evaluations of NSCLC Pharmacotherapies: A Systematic Review of Treatment Efficacy and Safety (2020–2025) Yousif A. Kariri (Saudi Arabia) et al. |
| P188 | Digital Pathology Innovations in Cross-Border Connectivity, AI and Mass Spectrometry (DigiPathConnect) Rudy Hovelinck (Belgium) et al. |
| P189 | From Genetic Alteration to In Silico Design of VEGF Inhibitors: A New Pathway to Fight Colorectal Cancer Fadwa Majdoubi (Morocco) et al. |
| P190 | Glomerular Diameter Measurements by Whole-Slide Digital Imaging in Diabetic Nephropathy: Its Correlation with Proteinuria and eGFR Arnav Kr. Roychoudhury (India) et al. |
| P191 | Digital Color Separation Can Be Used to Identify Fungal and Parasitic Bodies in Tissue Biopsies at a Tertiary Health Center in Southwest Nigeria Olaejirinde Olaofe (Nigeria) et al. |
| P192 | AI-Assisted Three-Dimensional Quantification of Liver Fibrosis Using Non-Destructive Micro-CT Imaging Kristijan Skok (Austria) et al. |
| P193 | Effects of Methanol Leaf Extract of Chromolaena odorata on Serum Haptoglobin and Hemopexin Levels in Phenylhydrazine-Induced Anaemic Wistar Rats Mohammedawal Onoruoyiza Ibrahim (Nigeria) et al. |
| P194 | Spatial Mapping of Immune Evasion and Cytotoxic TIME in Urothelial Carcinoma Mohamed Abdrabbou (Germany) et al. |
| P195 | Evaluating Biological Consistency and Robustness to Technical Variability in Multimodal Latent Spaces Julian Ostermaier (France) et al. |
| P196 | Stromal Profiling of Lung Adenocarcinoma Using Self-Supervised Learning Kai Rakovic (United Kingdom) et al. |
| P197 | Quantitative Spatial Digital Pathology Reveals Immune Architecture in Chronic Hepatitis B Among African Patients Michael Kutte (Nigeria) et al. |
| P198 | Differential Spatial Transcriptomic Gene Expression Profiles Associated with Breast Cancer Progression Kevin Thai (USA) et al. |
| P199 | 3D Reconstruction of Glomeruli Enabled by Volumetric Scanning of 2D Serial Sections of Different Stains from Kidney Biopsy Raghubansh Gupta (India) et al. |
| P200 | Volumetric 3D Histology via µCT and WSI Registration of Complete FFPE Blocks Almoatazbellah Youssef (Germany) et al. |
| P201 | ONCO-AITI: AI-Assisted Web-Based Training for Young Pathologists in Colorectal Neoplastic Lesions Gernot Fiala (Austria) et al. |
| P202 | Annotation-Efficient Pseudo-Labeling for Ki-67 Cell Detection Using Fine-Tuned Foundation Models Piotr Giedziun (Poland) et al. |
| P203 | Deep Learning-Based Ultraviolet Photoacoustic Microscopy for Label-Free Digital Pathology Eunwoo Park (Republic of Korea) et al. |
| P204 | Virtual Unstaining-Enabled Stain-Free Histopathology for Prostate Cancer Julia A. Mielcarz (Sweden) et al. |
| P205 | Utilizing Stain-Variation Modeling to Generate Shareable and Reusable Image Augmentation Templates Maya Barbosa Silva (Norway) et al. |
| P206 | Are Diffusions Created Equal for Virtual Staining? A Comprehensive Study on Diffusion Models for Image Translation in Histology Hesam Hakimnejad (Finland) et al. |
The ECDP2026 Poster Award will be selected among the 10 best-ranked posters based on the score from the peer-review, double-blinded abstract selection process, and after the on-site evaluation of the poster presentation by members of the Scientific Committee.