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08/26/2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
The Segment Anything Model (SAM) exhibits a capability to segment a wide...
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07/23/2023
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings
Modern medical image segmentation methods primarily use discrete represe...
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01/27/2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Spatiotemporal learning, which aims at extracting spatiotemporal correla...
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11/16/2022
Keep Your Friends Close Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images
Understanding of spatial attributes is central to effective 3D radiology...
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11/15/2022
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation
Convolutional neural network (CNN) based methods have achieved great suc...
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11/15/2022
A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning
High annotation costs and limited labels for dense 3D medical imaging ta...
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06/15/2018
Polyhedra Circuits and Their Applications
We introduce polyhedra circuits. Each polyhedra circuit characterizes a ...
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02/17/2018
