Abstract is missing.
- Molecular Subtype Prediction for Breast Cancer Using H&E Specialized BackboneSamaneh Abbasi-Sureshjani, Anil Yüce, Simon Schönenberger, Maris Skujevskis, Uwe Schalles, Fabien Gaire, Konstanty Korski. 1-9 [doi]
- A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIsHammam M. AlGhamdia, Navid Alemi Koohbanani, Nasir M. Rajpoot, Shan-e-Ahmed Raza. 10-19 [doi]
- Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesBenjamin Bancher, Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Georg Dorffner. 20-35 [doi]
- Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence ImagingShunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo. 36-46 [doi]
- Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic ImagesAfshin Bozorgpour, Reza Azad, Eman Showkatian, Alaa Sulaiman. 47-56 [doi]
- End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial CarcinomaJoshua Butke, Tatjana Frick, Florian Roghmann, Samir F. El-Mashtoly, Klaus Gerwert, Axel Mosig. 57-68 [doi]
- Automatic and explainable grading of meningiomas from histopathology imagesJonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville. 69-80 [doi]
- Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathologyNarmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Volkmar Schulz, Jakob Nikolas Kather. 81-93 [doi]
- Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide ImagesAzam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan. 94-104 [doi]
- Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohortsJohannes Höhne, Jacob de Zoete, Arndt A. Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga. 105-116 [doi]
- HistoCartography: A Toolkit for Graph Analytics in Digital PathologyGuillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani. 117-128 [doi]
- SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image ClassificationMarvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios. 129-139 [doi]
- Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired DataAmaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch. 140-150 [doi]
- Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-EnsemblingChaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li. 151-158 [doi]
- SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological ImagesMengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi 0001, Yong Xia, Dinggang Shen. 159-169 [doi]
- Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global AnnotationsNiccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin 0001, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller. 170-181 [doi]
- Robust Quad-Tree based Registration on Whole Slide ImagesChristian Marzahl, Frauke Wilm, Dressler Franz F., Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger. 181-190 [doi]
- Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancersCharlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jégou. 191-205 [doi]
- Creating small but meaningful representations of digital pathology imagesCorentin Gueréndel, Phil Arnold, Ben Torben-Nielsen. 206-215 [doi]
- Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 DatasetPaul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette. 216-226 [doi]
- A Multi-scale Graph Network with Multi-head Attention for Histopathology Image DiagnosisnXiaodan Xing, Yixin Ma, Lei Jin 0006, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu 0002, Dinggang Shen. 227-235 [doi]
- An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetQing Xu, Wenting Duan. 236-245 [doi]
- Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry ImagesHanyun Zhang, Tami Grunewald, Ayse U. Akarca, Jonathan A. Ledermann, Teresa Marafioti, Yinyin Yuan. 246-257 [doi]