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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 156: MICCAI Workshop on Computational Pathology, 27 September 2021, Virtual

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Editors: Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz Minhas, Henning Müller, Tingying Peng, Nasir Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec

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Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone

Samaneh Abbasi-Sureshjani, Anıl Yüce, Simon Schönenberger, Maris Skujevskis, Uwe Schalles, Fabien Gaire, Konstanty Korski; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:1-9

[abs][Download PDF]

A Novel Cell Map Representation for Weakly Supervised Prediction of ER & PR Status from H&E WSIs

; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:10-19

[abs][Download PDF]

Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images

Benjamin Bancher, Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Georg Dorffner; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:20-35

[abs][Download PDF]

Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging

Shunxing 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; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:36-46

[abs][Download PDF]

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images

Bozorgpour Afshin, Azad Reza, Showkatian Eman, Sulaiman Alaa; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:47-56

[abs][Download PDF][Software]

End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma

Joshua Butke, Tatjana Frick, Florian Roghmann, Samir F El-Mashtoly, Klaus Gerwert, Axel Mosig; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:57-68

[abs][Download PDF][Software]

Automatic and explainable grading of meningiomas from histopathology images

Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:69-80

[abs][Download PDF]

Deep Learning for interpretable end-to-end survival (E-ESurv) prediction in gastrointestinal cancer histopathology

Narmin Ghaffari Laleh, Amelie Echle, Hannah Sophie Muti, Katherine Jane Hewitt, Schulz Volkmar, Jakob Nikolas Kather; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:81-93

[abs][Download PDF][Software]

Automated Quantification Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images

Azam Hamidinekoo, Anna Kelsey, Nicholas Trahearn, Joanna Selfe, Janet Shipley, Yinyin Yuan; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:94-104

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Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts

Johannes Höhne, Jacob de Zoete, Arndt A. Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:105-116

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HistoCartography: A Toolkit for Graph Analytics in Digital Pathology

Guillaume Jaume, Pushpak Pati, Valentin Anklin, Antonio Foncubierta, Maria Gabrani; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:117-128

[abs][Download PDF][Software][Supplementary PDF]

SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification

Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch, Nikos Paragios; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:129-139

[abs][Download PDF][Software][Supplementary PDF]

Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data

Amaury Leroy, Kumar Shreshtha, Marvin Lerousseau, Théophraste Henry, Théo Estienne, Marion Classe, Nikos Paragios, Vincent Grégoire, Eric Deutsch; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:140-150

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Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling

Chaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:151-158

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SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images

Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:159-169

[abs][Download PDF]

Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations

Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:170-181

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Robust Quad-Tree based Registration on Whole Slide Images

Christian Marzahl, Frauke Wilm, Dressler Franz F., Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:181-190

[abs][Download PDF][Software]

Self-supervised learning improves dMMR/MSI detection from histology slides across multiple cancers

Charlie Saillard, Olivier Dehaene, Tanguy Marchand, Olivier Moindrot, Aurélie Kamoun, Benoit Schmauch, Simon Jegou; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:191-205

[abs][Download PDF][Supplementary PDF]

Creating small but meaningful representations of digital pathology images

Corentin Gueréndel, Phil Arnold, Ben Torben-Nielsen; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:206-215

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Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset

Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:216-226

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A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn

Xiaodan Xing, Yixin Ma, Lei Jin, Tianyang Sun, Zhong Xue, Feng Shi, Jinsong Wu, Dinggang Shen; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:227-235

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An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net

Qing Xu, Wenting Duan; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:236-245

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Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images

Hanyun Zhang, Tami Grunewald, Ayse U. Akarca, Jonathan A. Ledermann, Teresa Marafioti, Yinyin Yuan; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 156:246-257

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