2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Baking Status Characterization of Baked Food Image Based on Superpixel Segmentation

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010460 ◽

2019 ◽

Author(s):

Conghui Wang ◽

Bochuan Hou ◽

Jing Shi ◽

Jianhua Yang ◽

Boning Wu ◽

...

Keyword(s):

Superpixel Segmentation ◽

Food Image

Download Full-text

A CNN-Based Image Reconstruction for Electrical Capacitance Tomography

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010096 ◽

2019 ◽

Cited By ~ 1

Author(s):

Jin Zheng ◽

Haocheng Ma ◽

Lihui Peng

Keyword(s):

Image Reconstruction ◽

Electrical Capacitance Tomography ◽

Electrical Capacitance ◽

Capacitance Tomography

Download Full-text

Identifying and Characterizing the 18 Steps of Medical Imaging Process Workflow as a Basis for Targeting Improvements in Clinical Practice

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010117 ◽

2019 ◽

Author(s):

Md Shafiqur Rahman Jabin ◽

Catherine Mandel ◽

Tim Schultz ◽

Peter Hibbert ◽

Farah Magrabi ◽

...

Keyword(s):

Clinical Practice ◽

Medical Imaging

Download Full-text

Classification System with Capability to Reject Unknowns

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010169 ◽

2019 ◽

Author(s):

Soma Shiraishi ◽

Katsumi Kikuchi ◽

Kota Iwamoto

Keyword(s):

Classification System

Download Full-text

A Deconvolutional Bottom-up Deep Network for multi-person pose estimation

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010189 ◽

2019 ◽

Author(s):

Meng Li ◽

Haoqian Wang ◽

Yongbing Zhang ◽

Yi Yang

Keyword(s):

Pose Estimation ◽

Bottom Up ◽

Deep Network

Download Full-text

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010426 ◽

2019 ◽

Author(s):

Md Shafiqur Rahman Jabin ◽

Farah Magrabi ◽

Peter Hibbert ◽

Tim Schultz ◽

Taryn Bessen ◽

...

Keyword(s):

Information Technology ◽

Medical Imaging ◽

Health Information Technology ◽

Health Information

Download Full-text

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010123 ◽

2019 ◽

Author(s):

Hisham Abdeltawab ◽

Fahmi Khalifa ◽

Fatma Taher ◽

Garth Beache ◽

Tamer Mohamed ◽

...

Keyword(s):

Left Ventricle ◽

Functional Assessment ◽

Automatic Segmentation ◽

Convolutional Network ◽

Fully Convolutional Network

Download Full-text

AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010104 ◽

2019 ◽

Author(s):

Rui Wang ◽

Runnan Qin ◽

Jialing Zou ◽

Liang Zhang

Keyword(s):

Object Detection ◽

Convolutional Networks ◽

Fully Convolutional Networks

Download Full-text

Towards an unobtrusive baby monitoring system for real-time detection of possibly hazardous situations*

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010113 ◽

2019 ◽

Author(s):

Vangelis Sakkalis ◽

Matthew Pediaditis ◽

Stelios Sfakianakis

Keyword(s):

Real Time ◽

Monitoring System ◽

Real Time Detection

Download Full-text

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network

2019 IEEE International Conference on Imaging Systems and Techniques (IST) ◽

10.1109/ist48021.2019.9010151 ◽

2019 ◽

Cited By ~ 2

Author(s):

Delin Hu ◽

Keming Lu ◽

Yunjie Yang

Keyword(s):

Neural Network ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Electrical Impedance Tomography ◽

Electrical Impedance ◽

Feature Maps ◽

Impedance Tomography ◽

Invariant Feature

Download Full-text

2019 IEEE International Conference on Imaging Systems and Techniques (IST)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Baking Status Characterization of Baked Food Image Based on Superpixel Segmentation

A CNN-Based Image Reconstruction for Electrical Capacitance Tomography

Identifying and Characterizing the 18 Steps of Medical Imaging Process Workflow as a Basis for Targeting Improvements in Clinical Practice

Classification System with Capability to Reject Unknowns

A Deconvolutional Bottom-up Deep Network for multi-person pose estimation

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network

AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection

Towards an unobtrusive baby monitoring system for real-time detection of possibly hazardous situations*

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network

Export Citation Format

2019 IEEE International Conference on Imaging Systems and Techniques (IST)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Baking Status Characterization of Baked Food Image Based on Superpixel Segmentation

A CNN-Based Image Reconstruction for Electrical Capacitance Tomography

Identifying and Characterizing the 18 Steps of Medical Imaging Process Workflow as a Basis for Targeting Improvements in Clinical Practice

Classification System with Capability to Reject Unknowns

A Deconvolutional Bottom-up Deep Network for multi-person pose estimation

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations

Automatic Segmentation and Functional Assessment of the Left Ventricle using U-net Fully Convolutional Network

AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection

Towards an unobtrusive baby monitoring system for real-time detection of possibly hazardous situations*

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network

2019 IEEE International Conference on Imaging Systems and Techniques (IST)
Latest Publications