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08/10/2023
Masked Diffusion as Self-supervised Representation Learner
Denoising diffusion probabilistic models have recently demonstrated stat...
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06/09/2023
EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation
Artificial intelligence (AI) has been widely used in bioimage image anal...
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09/06/2022
MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation
The deep learning research in computer vision has been growing extremely...
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06/02/2022
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation
Deep learning (DL) based semantic segmentation methods have achieved exc...
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12/17/2020
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Automatic histopathology image segmentation is crucial to disease analys...
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01/15/2019
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
The Encoder-Decoder architecture is a main stream deep learning model fo...
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02/01/2018
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Wing disc pouches of fruit flies are a powerful genetic model for studyi...
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06/15/2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Image segmentation is a fundamental problem in biomedical image analysis...
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05/31/2017
Neuron Segmentation Using Deep Complete Bipartite Networks
In this paper, we consider the problem of automatically segmenting neuro...
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12/09/2016
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic detection of lymphocyte in H&E images is a necessary first ste...
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09/05/2016