DGIST Scholar

Search

특수문자 Advanced Search
Current filters:
Add filters:

Results 1-6 of 6 (Search time: 0.002 seconds).

Item hits:

Issue Date Title Author(s) Journal View
2022-02
Classification of the Confocal Microscopy Images of Colorectal Tumor and Inflammatory Colitis Mucosa Tissue Using Deep Learning

Jeong, Jaehoon ;  Hong, Seung Taek ;  Ullah, Ihsan ;  Kim, Eun Sun ;  Park, Sang Hyun

Diagnostics, v.12, no.2, 2022-02

 141
2022-10
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

Shoaib, Muhammad ;  Hussain, Tariq ;  Shah, Babar ;  Ullah, Ihsan ;  Shah, Sayyed Mudassar ;  Ali, Farman ;  Park, Sang Hyun

Frontiers in Plant Science, v.13, 2022-10

 139
2021-02

Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

Ullah, Ihsan ;  Chikontwe, Philip ;  Choi, Hongsoo ;  Yoon, Chang Hwan ;  Park, Sang Hyun

Applied Sciences, v.11, no.4, pp.1638 - 16, 2021-02

 392
2019-10

Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames

Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames

Ullah, Ihsan ;  Chikontwe, Philip ;  Park, Sang Hyun

Institute of Electrical and Electronics Engineers Inc., 2019-10

 541
2023-01
A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images

Ullah, Ihsan ;  Ali, Farman ;  Shah, Babar ;  El-Sappagh, Shaker ;  Abuhmed, Tamer ;  Park, Sang Hyun

Scientific Reports, v.13, no.1, 2023-01

 132
2019-10-13
Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks

Ullah, Ihsan ;  Chikontwe P. ;  Park, Sang Hyun

International Conference on Medical Image Computing and Computer Assisted Interventions, pp.125 - 133, 2019-10-13

 627
1

Discover

DGIST

Copyrights ⓒ 2016. Daegu Gyeongbuk Institute of Science & Technology All right reserved.

DGIST Scholar was built with support from the OAK distribution project by the National Library of Korea.

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.

You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Library Services Team, DGIST 333. Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu, 42988, Republic of Korea.

RSS_1.0 RSS_2.0 ATOM_1.0

BROWSE

DGIST LIBRARY FAQ