HRLB Lab
HRLB Lab
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Aadarsh Jha
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ASIST: ANNOTATION-FREE synthetic instance segmentation and tracking by adversarial simulations
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
Compound Figure Separation of Biomedical Images with Side Loss
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Instance segmentation for whole slide imaging: end-to-end or detect-then-segment
Map3D: registration based multi-object tracking on 3D serial whole slide images
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
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