Search Results for author: Jiang Du

Found 6 papers, 4 papers with code

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation

no code implementations Findings (EMNLP) 2021 An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, Chun-Nan Hsu

Radiology report generation aims at generating descriptive text from radiology images automatically, which may present an opportunity to improve radiology reporting and interpretation.

Contrastive Learning Medical Report Generation +1

Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning

no code implementations5 Aug 2019 Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Ya-Jun Ma, Eric Y Chang, Sameer Shah, Jiang Du

Next, the T1, T1$\rho$, T2* relaxations, and ROI areas were determined for the manual and automatic segmentations, then compared. The models developed using ROIs provided by two radiologists achieved high Dice scores of 0. 860 and 0. 833, while the radiologists' manual segmentations achieved a Dice score of 0. 820.

Transfer Learning

Perceptual Compressive Sensing

1 code implementation1 Feb 2018 Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi

In detail, we employ perceptual loss, defined on feature level, to enhance the structure information of the recovered images.

Compressive Sensing

Full Image Recover for Block-Based Compressive Sensing

1 code implementation1 Feb 2018 Xuemei Xie, Chenye Wang, Jiang Du, Guangming Shi

In measurement part, the input image is adaptively measured block by block to acquire a group of measurements.

Compressive Sensing

Adaptive Measurement Network for CS Image Reconstruction

1 code implementation23 Sep 2017 Xuemei Xie, Yu-Xiang Wang, Guangming Shi, Chenye Wang, Jiang Du, Zhifu Zhao

In this paper, we propose an adaptive measurement network in which measurement is obtained by learning.

Compressive Sensing Image Reconstruction

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