Ngā tūemi rite

• Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images
  mā: Sahayam, Subin, me ētahi atu.
  I whakaputaina: (2024)
• Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
  mā: Varshan V, Yoga Sri, me ētahi atu.
  I whakaputaina: (2024)
• Explainable AI: Comparative Analysis of Normal and Dilated ResNet Models for Fundus Disease Classification
  mā: Karthikayan, P. N., me ētahi atu.
  I whakaputaina: (2024)
• Artery-Vein Segmentation from Fundus Images using Deep Learning
  mā: SK, Sharan, me ētahi atu.
  I whakaputaina: (2025)
• The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
  mā: Li, Hongwei Bran, me ētahi atu.
  I whakaputaina: (2023)