Jinzheng Cai | DeepAI

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∙ 08/17/2021

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening

Hepatocellular carcinoma (HCC) can be potentially discovered from abdomi...

0 Chi-Tung Cheng, et al. ∙

∙ 05/05/2021

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Measuring lesion size is an important step to assess tumor growth and mo...

0 Youbao Tang, et al. ∙

∙ 05/03/2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Accurately segmenting a variety of clinically significant lesions from w...

0 Youbao Tang, et al. ∙

∙ 12/13/2020

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach

Using radiological scans to identify liver tumors is crucial for proper ...

0 Bolin Lai, et al. ∙

∙ 12/09/2020

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Monitoring treatment response in longitudinal studies plays an important...

17 Jinzheng Cai, et al. ∙

∙ 12/04/2020

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images

Radiological images such as computed tomography (CT) and X-rays render a...

0 Ke Yan, et al. ∙

∙ 09/05/2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Large-scale datasets with high-quality labels are desired for training a...

9 Ke Yan, et al. ∙

∙ 09/05/2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Mask-based annotation of medical images, especially for 3D data, is a bo...

0 Ashwin Raju, et al. ∙

∙ 08/30/2020

Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Identifying, measuring and reporting lesions accurately and comprehensiv...

2 Jinzheng Cai, et al. ∙

∙ 08/29/2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...

9 Chun-Hung Chao, et al. ∙

∙ 06/28/2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Although having achieved great success in medical image segmentation, de...

3 Yingda Xia, et al. ∙

∙ 06/28/2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...

0 Yuankai Huo, et al. ∙

∙ 05/28/2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...

5 Ke Yan, et al. ∙

∙ 05/27/2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...

4 Zhuotun Zhu, et al. ∙

∙ 05/27/2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

In medical imaging, organ/pathology segmentation models trained on curre...

20 Ashwin Raju, et al. ∙

∙ 01/21/2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Acquiring large-scale medical image data, necessary for training machine...

3 Jinzheng Cai, et al. ∙

∙ 10/15/2019

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Automatic segmentation of abdomen organs using medical imaging has many ...

0 Jinzheng Cai, et al. ∙

∙ 11/29/2018

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

We propose a novel framework, uncertainty-aware multi-view co-training (...

0 Yingda Xia, et al. ∙

∙ 07/18/2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Automated lesion segmentation from computed tomography (CT) is an import...

0 Youbao Tang, et al. ∙

∙ 07/03/2018

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

Given image labels as the only supervisory signal, we focus on harvestin...

4 Jinzheng Cai, et al. ∙

∙ 07/02/2018

Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Volumetric lesion segmentation from computed tomography (CT) images is a...

0 Jinzheng Cai, et al. ∙

∙ 03/30/2018

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

Automatic pancreas segmentation in radiology images, eg., computed tomog...

0 Jinzheng Cai, et al. ∙

∙ 01/25/2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

Volumetric lesion segmentation via medical imaging is a powerful means t...

0 Jinzheng Cai, et al. ∙

∙ 07/16/2017

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Deep neural networks have demonstrated very promising performance on acc...

0 Jinzheng Cai, et al. ∙

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