Papers

• A vision foundation model for single-cell biology via spatial gene cartography (2026)
  Ridvan Yesiloglu et al.
  5.01
• Explainable AI for Biodiversity Monitoring and Ecological Image Analysis (2026)
  Brinnae Bent et al.
  3.45
• Identity-Aware U-Net: Fine-grained Cell Segmentation via Identity-Aware Representation Learning (2026)
  Rui Xiao
  1.83
• Self-supervised Pretraining of Cell Segmentation Models (2026)
  Kaden Stillwagon et al.
  1.83
• TrackStudio: An Integrated Toolkit for Markerless Tracking (2025)
  Hristo Dimitrov et al.
  1.56
• A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis (2022)
  Karina Ruzaeva et al.
  —
• The Projection-Enhancement Network (PEN) (2023)
  Christopher Z. Eddy et al.
  —
• Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity (2023)
  Mu Zhou and Lucas Stoffl and Mackenzie Weygandt Mathis and Alexander Mathis
  —
• Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms (2023)
  Ye Bi et al.
  —
• The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography (2023)
  Kaiyuan Yang et al.
  —
• A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms (2024)
  Ari Blau et al.
  —