Search Results for author: Rongguo Zhang

Found 7 papers, 4 papers with code

Transformer Lesion Tracker

1 code implementation13 Jun 2022 Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang

Previous methods typically lack the integration of local and global information.

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

1 code implementation13 Jun 2022 Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang

In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost.

Medical Diagnosis SSIM +1

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients

1 code implementation13 Jun 2022 Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang

Several deep learning-based methods are proposed for the OS time prediction on multi-modal MRI problems.

Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning

1 code implementation10 Oct 2021 Shaohua Wu, Xudong Zhao, Tong Yu, Rongguo Zhang, Chong Shen, Hongli Liu, Feng Li, Hong Zhu, Jiangang Luo, Liang Xu, Xuanwei Zhang

With this method, Yuan 1. 0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks.

Few-Shot Learning Language Modelling +1

Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet

no code implementations26 Jul 2019 Jiechao Ma, Rongguo Zhang

We prove the robustness and generalizability of our model by training it exclusively on chest CT while test on both types of CT scans.

Cross-view Relation Networks for Mammogram Mass Detection

no code implementations1 Jul 2019 Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H. Menze, Rongguo Zhang, Wei-Shi Zheng

Mammogram is the most effective imaging modality for the mass lesion detection of breast cancer at the early stage.

Lesion Detection

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images

no code implementations18 Dec 2018 Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng

In this paper, we propose a novel and effective abnormality detector implementing the attention mechanism and group convolution on 3D single-shot detector (SSD) called group-attention SSD (GA-SSD).

Computed Tomography (CT) Finding Pulmonary Nodules In Large-Scale Ct Images

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