ORAL PRESENTATIONS I
Centroid-Aware Gaussian Prompt Learning with Erosion-Guided Accumulator for Robust Semantic Cell Segmentation
Nur Suriza Syazwany, Su Jung Kim, Ju-Hyeon Nam, Sang-Chul Lee
Effortless Vision-Language Model Specialization in Histopathology without Annotation
Jingna Qiu, Nishanth Jain, Jonas Ammeling, Marc Aubreville, Katharina Breininger
KidneyGrader: Fine-Grained Tubulitis Scoring Using Weakly Supervised Transformers
Abrar Rashid, Vishal Jain, Sarah Cechnicka, Aamir Chaudry, Candice Roufosse, Bernhard Kainz
ORAL PRESENTATIONS II
From Gene Expression to Tissue Morphology: Can Generative Models Uncover the Link?
Frederieke Lohmann, Alberto Valdeolivas, Jelica Vasiljević
GenST: A Generative Cross-Modal Model for Predicting Spatial Transcriptomics from Histology Images
Ruby Wood, Yang Hu, Jens Rittscher, Bin Li
MV Hybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models
Won June Cho, Hongjun Yoon, Daeky Jeong, Hyeongyeol Lim, Yosep Chong
POSTERS
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation
Ruben Lucassen, Tijn van de Luijtgaarden, Sander Moonemans, Gerben Breimer, Willeke Blokx, Mitko Veta
Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis
Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping
Mohammed Amer, Mohamed A. Suliman, Tu Bui, Nuria Garcia, Serban Georgescu
Uncertainty-Aware Ensemble Segmentation of Breast Cancer Tissue Microarrays
Lucia Schmidt-Santiago, Roman Kinakh, Sergio Carreras-Salinas, Sara Guerrero-Aspizcua, Gonzalo R. Ríos-Muñoz, Arrate Munoz-Barrutia
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
Hassan Keshvarikhojasteh, Mihail Tifrea, Sibylle Hess, Josien P.W. Pluim, Mitko Veta
Identifying actionable driver mutations in lung cancer using an efficient Asymmetric Transformer Decoder
Biagio Brattoli, Jack Shi, Jongchan Park, Taebum Lee, Donggeun Yoo, Sérgio Pereira
Linear Attention-based Multiple Instance Learning for Computational Pathology
Charlotte Richter, Daniel Reisenbüchler, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
Combining AI-based Biomarkers for PDAC Survival
Lisa Hensens, Sergio Sabroso-Lasa, Caroline Verbeke, Nuria Malats, The PanGenEU Consortium, Geert Litjens, Pierpaolo Vendittelli
Enhancing Interpretation of Histopathology Whole Slide Image Analysis via Regional Causal Dependency Discovery
Zixian Li, Jun Shi, Zhiguo Jiang, Fengying Xie, Yushan Zheng
fmMAP: A Framework Reducing Site-Bias Batch Effect from Foundation Models in Pathology
Hai Cao Truong Nguyen, David Joon Ho
Context-guided Prompt-learning for Continual WSI Classification
Giulia Corso, Francesca Miccolis, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
A Benchmark of Foundation Model Encoders for Histopathological Image Segmentation
Itsaso Vitoria, Cristina López, Cristina Penas, Maria Dolores Boyano, Ignacio Arganda-Carreras, Adrian Galdran
Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models
Stefan Brandstätter, Maximilian Köller, Philipp Seeböck, Alissa Blessing, Felicitas Oberndorfer, Svitlana Pochepnia,
Helmut Prosch, Georg Langs
Reliable and Efficient Tissue Segmentation in Whole-Slide Images
Sander Elias Magnussen Helgesen, Anthony Manet, Karolina Cyll, Kari Anne Risan Tobin, Marna Lill Kjæreng, Ilyá Kostolomov,
Audun Ljone Henriksen, Sepp De Raedt, Hanne Arenberg Askautrud, Miangela Lacle, Robert P. Jones, Cornelis Verhoef,
Tarjei Sveinsgjerd Hveem, Ole-Johan Skrede, Andreas Kleppe
Low-Rank Adaptations for increased Generalization in Foundation Model features
Vilde Schulerud Bøe, Andreas Kleppe, Sebastian Foersch, Daniel-Christoph Wagner, Lill-Tove Rasmussen Busund, Adín Ramírez Rivera
Towards Automated Banff Lesion Scoring: Tissue Segmentation in Kidney Transplant Biopsies using Deep Learning
Sebastiaan Ram, Dominique van Midden, Jeroen van der Laak, Linda Studer
Chromosome Mask-Conditioned Generative Inpainting for Atypical Mitosis Classification
Sweta Banerjee, Viktoria Weiss, Thomas Conrad, Taryn A. Donovan, Jonas Ammeling, Rutger H.J. Fick, Jonas Utz, Robert Klopfleisch, Christopher Kaltenecker, Christof Bertram, Katharina Breininger, Marc Aubreville
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
Ha-Hieu Pham, Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Ulas Bagci, Min Xu, Trung-Nghia Le, Hieu Pham
OXA-MISS: A Robust Multimodal Architecture for Chemotherapy Response Prediction under Data Scarcity
Francesca Miccolis, Fabio Marinelli, Vittorio Pipoli, Daria Afenteva, Anni Virtanen, Marta Lovino, Elisa Ficarra
NeXtMarker: Contrastive Learning for Marker-Level Interpretability in Single-Cell Multiplex Imaging
Simon Gutwein, Daria Lazic, Thomas Walter, Sabine Taschner-Mandl, Roxane Licandro
WSI-BayesUNet: Uncertainty-Aware Deep Learning for Histopathological Image Segmentation with Active Learning
Yijun Cui, Nadieh Khalili
