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06/07/2022
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records
In medical image diagnosis, identifying the attention region, i.e., the ...
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03/10/2022
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches
This study proposes a framework for manifold learning of image patches u...
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07/08/2021
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning
In the present study, we propose a novel case-based similar image retrie...
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01/06/2020
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images
We propose a new method for cancer subtype classification from histopath...
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08/08/2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"
Deep image prior (DIP), which utilizes a deep convolutional network (Con...
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06/03/2019
Computing Valid p-values for Image Segmentation by Selective Inference
Image segmentation is one of the most fundamental tasks of computer visi...
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04/05/2018
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space
Let us consider a case where all of the elements in some continuous slic...
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01/10/2018