COMPAYL 2024

The workshop was a half-day satellite event at MICCAI 2024 on the 6th of October 2024.

All accepted papers were presented in poster form, and a selected few were invited for an oral presentation. We also had two talks by invited keynote speakers and a session presenting the results of the DALPHIN chatbot arena.​

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All papers have been published under Proceeding of Machine Learning Research.​

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The following papers have been accepted:

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

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

• Preprocessing Pathology Reports for Vision-Language Model Development

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

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

• Histopathobiome – integrating histopathology and microbiome data via multimodal deep learning

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

• Upscaling Prostate Cancer MRI Images to Cell-level Resolution Using Self-supervised Learning
  Watch the video.​

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

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

• StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation
  Watch the video.

• Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer
  Watch the video.

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

• Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification
  Watch the video.

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

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

• CDNet: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation
  Watch the video.

• Lymphocytes subtyping on H&E slides with automatic labelling through same-tissue stained ImmunoFluorescence images
  Watch the video.

• Multi-head Attention-based Deep Multiple Instance Learning
  Watch the video.

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The list of accepted papers can also be found here.​