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09/11/2023
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT Images
Fluorodeoxyglucose (FDG) positron emission tomography (PET) combined wit...
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06/30/2023
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
Survival prediction based on whole slide images (WSIs) is a challenging ...
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05/05/2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review
For invasive breast cancer, immunohistochemical (IHC) techniques are oft...
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03/11/2023
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Multiple Instance Learning (MIL), a powerful strategy for weakly supervi...
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11/24/2022
Cross Aggregation Transformer for Image Restoration
Recently, Transformer architecture has been introduced into image restor...
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10/04/2022
Accurate Image Restoration with Attention Retractable Transformer
Recently, Transformer-based image restoration networks have achieved pro...
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06/26/2022
Multiple Instance Learning with Mixed Supervision in Gleason Grading
With the development of computational pathology, deep learning methods f...
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05/06/2022
RCMNet: A deep learning model assists CAR-T therapy for leukemia
Acute leukemia is a type of blood cancer with a high mortality rate. Cur...
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04/24/2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Compressed Sensing MRI (CS-MRI) aims at reconstructing de-aliased images...
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04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
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12/12/2021
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Hyperspectral imaging is an essential imaging modality for a wide range ...
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06/02/2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication
Multiple instance learning (MIL) is a powerful tool to solve the weakly ...
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12/28/2020
Freshness-Optimal Caching for Information Updating Systems with Limited Cache Storage Capacity
In this paper, we investigate a cache updating system with a server cont...
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08/09/2020
Depth image denoising using nuclear norm and learning graph model
The depth images denoising are increasingly becoming the hot research to...
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02/22/2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Recent works have demonstrated that deep learning (DL) based compressed ...
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09/19/2019
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy
Fourier ptychography (FP) is a newly developed computational imaging app...
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04/16/2019
On the Mathematical Understanding of ResNet with Feynman Path Integral
In this paper, we aim to understand Residual Network (ResNet) in a scien...
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09/03/2018