Multi-head Attention-based Deep Multiple Instance Learning

Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:1-12

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Lymphocytes subtyping on H&E slides with automatic labelling through same-tissue stained ImmunoFluorescence images

Etienne Pochet, Luis Cano Ayestas, Alhassan Casse, Qi Tang, Roger Trullo; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:13-24

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WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images

Hong Liu, Haosen Yang, Paul J. van Diest, Josien P.W. Pluim, Mitko Veta; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:25-37

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Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective

Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam J. Schoenfeld, Kuan-lin Huang, Jane Houldsworth, Chad Vanderbilt, Thomas J. Fuchs; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:38-50

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CDNet: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation

Dawei Fan, Yifan Gao, Jiaming Yu, Changcai Yang, Riqing Chen, Lifang Wei; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:51-60

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Preprocessing Pathology Reports for Vision-Language Model Development

Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans, Willeke A. M. Blokx, Mitko Veta; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:61-71

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PathAlign: A vision–language model for whole slide images in histopathology

Faruk Ahmed, Andrew Sellergen, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Greg S. Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:72-108

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Deep-Learning Based Virtual Stain Multiplexing Immunohistochemistry Slides – a Pilot Study

Oded Ben-David, Elad Arbel, Daniela Rabkin, Itay Remer, Amir Ben-Dor, Sarit Aviel-Ronen, Frederik Aidt, Tine Hagedorn-Olsen, Lars Jacobsen, Kristopher Kersch, Anya Tsalenko; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:107-120

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ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology

Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Limin Yu, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:121-130

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SurvivMIL: A Multimodal, Multiple Instance Learning Pipeline for Survival Outcome of Neuroblastoma Patients

Reed Naidoo, Olga Fourkioti, Matt De Vries, Chris Bakal; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:131-141

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Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification

Shubham Innani, MacLean P. Nasrallah, W. Robert Bell, Bhakti Baheti, Spyridon Bakas; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:142-153

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CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images

Thiziri Nait Saada, Valentina Di-Proietto, Benoit Schmauch, Katharina Von Loga, Lucas Fidon; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:154-169

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Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer

Marc Robbins, Jessica Loo, Saurabh Vyawahare, Yang Von Wang, Carson Mcneil, Dave Steiner, Sudha Rao, Pok Fai Wong, Ehud Rivlin, Shamira Weaver, Roman Goldenberg; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:170-179

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StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation

Ali Alhaj Abdo, Islem Mhiri, Zeeshan Nisar, Barbara Seeliger, Thomas Lampert; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:180-191

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Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification

Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:192-202

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Histopathobiome – integrating histopathology and microbiome data via multimodal deep learning

Agata Polejowska, Annemarie Boleij, Francesco Ciompi; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:203-213

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Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach

Matteo Pozzi, Natalie Klubickova, Michela Campora, Frederique Meeuwsen, Joey Spronck, Carlijn Lems, Michelle Stegeman, Leslie Tessier, Mattia Barbareschi, Jeroen van der Laak, Giuseppe Jurman, Francesco Ciompi; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:214-225

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Upscaling Prostate Cancer MRI Images to Cell-level Resolution Using Self-supervised Learning

Yaying Shi, Srijan Das, Yonghong Yan; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:226-236

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Stromal Tissue Segmentation in Multi-Stained Serial Histopathological Sections of Pancreatic Tumors

David Montalvo-García, Juan E. Ortuño, Ana D. Ramos-Guerra, Sofía Granados-Aparici, Subhra S. Goswami, Pablo Santiago Diaz, Maria Evangelina Patriarca-Amiano, Joan Lop Gros, Lidia Estudillo, Mar Iglesias Coma, Rosa Noguera, Nuria Malats, María J. Ledesma-Carbayo; Proceedings of the MICCAI Workshop on Computational Pathology, PMLR 254:237-248

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