b'Ling Zhang'

research

∙ 08/01/2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...

0 Hexin Dong, et al. ∙

research

∙ 07/20/2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Lung cancer is a leading cause of death worldwide and early screening is...

0 Jianpeng Zhang, et al. ∙

research

∙ 07/17/2023

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Liver tumor segmentation and classification are important tasks in compu...

0 Ke Yan, et al. ∙

research

∙ 07/10/2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Gastric cancer is the third leading cause of cancer-related mortality wo...

0 Mingze Yuan, et al. ∙

research

∙ 06/28/2023

A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans

Liver cancer has high morbidity and mortality rates in the world. Multi-...

0 Fakai Wang, et al. ∙

research

∙ 04/03/2023

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees

In this paper, we consider the scenario-based two-stage stochastic DC op...

0 Ling Zhang, et al. ∙

research

∙ 04/01/2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Real-world medical image segmentation has tremendous long-tailed complex...

5 Mingze Yuan, et al. ∙

research

∙ 03/02/2023

Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT

Pancreatic cancer is one of the leading causes of cancer-related death. ...

0 Bo Zhou, et al. ∙

research

∙ 02/25/2023

A Bottom-Up Approach to a Unified Semantic Interface for Verified Compositional Compilation

Verified compositional compilation (VCC) is a notion of modular verifica...

0 Ling Zhang, et al. ∙

research

∙ 01/28/2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Human readers or radiologists routinely perform full-body multi-organ mu...

0 Jieneng Chen, et al. ∙

research

∙ 01/04/2023

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging

Lymph node (LN) metastasis status is one of the most critical prognostic...

0 Zhilin Zheng, et al. ∙

research

∙ 12/19/2022

FedTADBench: Federated Time-Series Anomaly Detection Benchmark

Time series anomaly detection strives to uncover potential abnormal beha...

0 Fanxing Liu, et al. ∙

research

∙ 01/13/2022

SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data

Manually annotating complex scene point cloud datasets is both costly an...

9 Xingye Li, et al. ∙

research

∙ 10/04/2021

Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach

Using deep neural networks to predict the solutions of AC optimal power ...

0 Ling Zhang, et al. ∙

research

∙ 08/23/2021

CANet: A Context-Aware Network for Shadow Removal

In this paper, we propose a novel two-stage context-aware network named ...

0 Zipei Chen, et al. ∙

research

∙ 06/20/2021

Fast PDN Impedance Prediction Using Deep Learning

Modeling and simulating a power distribution network (PDN) for printed c...

11 Ling Zhang, et al. ∙

research

∙ 03/23/2021

Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages

Reduction in the cost of Network Cameras along with a rise in connectivi...

0 Ryan Dailey, et al. ∙

research

∙ 12/08/2020

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

The pancreatic disease taxonomy includes ten types of masses (tumors or ...

0 Tianyi Zhao, et al. ∙

research

∙ 08/26/2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

12 Jiawen Yao, et al. ∙

research

∙ 08/24/2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...

19 Ling Zhang, et al. ∙

research

∙ 06/10/2020

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation

Deep neural network (DNN) based approaches have been widely investigated...

2 Dong Yang, et al. ∙

research

∙ 05/28/2020

Self-supervised Modal and View Invariant Feature Learning

Most of the existing self-supervised feature learning methods for 3D dat...

0 Longlong Jing, et al. ∙

research

∙ 04/13/2020

Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences

The success of supervised learning requires large-scale ground truth lab...

0 Longlong Jing, et al. ∙

research

∙ 11/20/2019

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

Residual images and illumination estimation have been proved very helpfu...

46 Ling Zhang, et al. ∙

research

∙ 10/02/2019

Weakly supervised segmentation from extreme points

Annotation of medical images has been a major bottleneck for the develop...

0 Holger Roth, et al. ∙

research

∙ 08/04/2019

ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal

In this paper we propose an attentive recurrent generative adversarial n...

3 Bin Ding, et al. ∙

research

∙ 07/08/2019

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

Radiogenomic map linking image features and gene expression profiles is ...

0 Ziyue Xu, et al. ∙

research

∙ 06/07/2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Recent advances in deep learning for medical image segmentation demonstr...

0 Ling Zhang, et al. ∙

research

∙ 04/28/2019

Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network

To alleviate the cost of collecting and annotating large-scale point clo...

0 Ling Zhang, et al. ∙

research

∙ 02/23/2019

Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data

Prognostic tumor growth modeling via medical imaging observations is a c...

0 Ling Zhang, et al. ∙

research

∙ 10/24/2018

Solving Poisson's Equation using Deep Learning in Particle Simulation of PN Junction

Simulating the dynamic characteristics of a PN junction at the microscop...

0 Zhongyang Zhang, et al. ∙

research

∙ 10/14/2018

Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks

Fine-grained classification of cervical cells into different abnormality...

0 Haoming Lin, et al. ∙

research

∙ 01/25/2018

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

Automation-assisted cervical screening via Pap smear or liquid-based cyt...

0 Ling Zhang, et al. ∙

research

∙ 01/25/2018

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

This paper reports Deep LOGISMOS approach to 3D tumor segmentation by in...

0 Zhihui Guo, et al. ∙

research

∙ 01/25/2018

Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation

Image segmentation is a fundamental problem in medical image analysis. I...

0 Ling Zhang, et al. ∙

research

∙ 01/25/2018

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction

Tumor growth is associated with cell invasion and mass-effect, which are...

0 Ling Zhang, et al. ∙

research

∙ 11/28/2017

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database

Radiologists in their daily work routinely find and annotate significant...

0 Ke Yan, et al. ∙

research

∙ 06/01/2017

Personalized Pancreatic Tumor Growth Prediction via Group Learning

Tumor growth prediction, a highly challenging task, has long been viewed...

0 Ling Zhang, et al. ∙

Ling Zhang

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