Yongbing Zhang | DeepAI

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Featured Co-authors

Jian Zhang
226 publications
Liang Lin
216 publications
Xin Chen
162 publications
Yi Li
145 publications
Jiawei Zhang
144 publications
Yang Chen
117 publications
Yan Xu
95 publications
Xin Yuan
93 publications
Jun Xu
91 publications
Shiqi Wang
91 publications
Chao Dong
90 publications

∙ 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...

0 Linghan Cai, et al. ∙

∙ 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 ...

0 Zhuchen Shao, et al. ∙

∙ 05/05/2023

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review

For invasive breast cancer, immunohistochemical (IHC) techniques are oft...

23 Chuang Zhu, et al. ∙

∙ 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...

0 Zhuchen Shao, et al. ∙

∙ 11/24/2022

Cross Aggregation Transformer for Image Restoration

Recently, Transformer architecture has been introduced into image restor...

0 Chen Zheng, et al. ∙

∙ 10/04/2022

Accurate Image Restoration with Attention Retractable Transformer

Recently, Transformer-based image restoration networks have achieved pro...

15 Jiale Zhang, et al. ∙

∙ 06/26/2022

Multiple Instance Learning with Mixed Supervision in Gleason Grading

With the development of computational pathology, deep learning methods f...

1 Hao Bian, et al. ∙

∙ 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...

35 Ruitao Zhang, et al. ∙

∙ 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...

12 Jingfen Xie, et al. ∙

∙ 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...

1 Chu Han, et al. ∙

∙ 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 ...

0 Xuanyu Zhang, et al. ∙

∙ 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 ...

0 Zhuchen Shao, et al. ∙

∙ 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...

0 Haibin Xie, et al. ∙

∙ 08/09/2020

Depth image denoising using nuclear norm and learning graph model

The depth images denoising are increasingly becoming the hot research to...

0 Chenggang Yan, et al. ∙

∙ 02/22/2020

Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction

Recent works have demonstrated that deep learning (DL) based compressed ...

0 Jiangpeng Yan, et al. ∙

∙ 09/19/2019

PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy

Fourier ptychography (FP) is a newly developed computational imaging app...

5 Yongbing Zhang, et al. ∙

∙ 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...

0 Minghao Yin, et al. ∙

∙ 09/03/2018

Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks

We consider the single image super-resolution problem in a more general ...

0 Yuan Yuan, et al. ∙

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