Journal
- Development of Artificial Intelligence System for Quality Control of Photo Documentation in Esophagogastroduodenoscopy
Seong Ji Choi,* Mohammad Azam Khan,* Hyuk Soon Choi, Jaegul Choo, Jae Min Lee, and Soonwook Kwon (*: equal contributions)
Surgical Endoscopy, 2021 (IF: 3.149, as of 2019).
- Automatic Detection of Tympanic Membrane and Middle Ear Infection from Oto-Endoscopic Images via Convolutional Neural Networks.
Mohammad Azam Khan,* Soonwook Kwon,* Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, and Seok Jin Hong (*: equal contributions)
Neural Networks, 126, Pages 384-394, 2020 (IF: 5.535, as of 2019)
- An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Sharib Ali, Felix Zhou, Barbara Braden, Adam Bailey, Suhui Yang, Guanju Cheng, Pengyi Zhang, Xiaoqiong Li, Maxime Kayser, Roger D Soberanis-Mukul, Shadi Albarqouni, Xiaokang Wang, Chunqing Wang, Seiryo Watanabe, Ilkay Oksuz, Qingtian Ning, Shufan Yang, Mohammad Azam Khan, Xiaohong W Gao, Stefano Realdon, Maxim Loshchenov, Julia A Schnabel, James E East, Georges Wagnieres, Victor B Loschenov, Enrico Grisan, Christian Daul, Walter Blondel, and Jens Rittscher
Scientific Reports, 10, 2748 (2020) (IF: 3.998 as of 2019)
- Intelligent Fault Detection using Raw Vibration Signals via Dilated Convolutional Neural Networks
Mohammad Azam Khan, Yong-Hwa Kim, and Jaegul Choo
The Journal of Supercomputing, 76, 8086-8100 (2020) (IF: 2.469, as of 2019)
- End-to-End Partial Discharge Detection in Power Cables via Time-Domain Convolutional Neural Networks
Mohammad Azam Khan, Jaegul Choo, and Yong-Hwa Kim
Journal of Electrical Engineering & Technology, 14, pages 1299–1309 (2019) (IF: 0.736, as of 2019)
Conference
- (Accepted) Towards Reliable Power Supply: An Approach to Low-cost IoT-based Power Interruption Monitoring System
Deepak Chandra Roy, Md Shazzad Hossain, Amit Kumar Das, Md. Ashraf Ali and Mohammad Azam Khan
International Conference on Big Data, IoT and Machine Learning (BIM 2021).
- Green Energy from Cycle Rickshaws: A Novel Approach to Utilize the Impoverished Section of Bangladesh
Sultan Uddin Khan, Md Shazzad Hossain and Mohammad Azam Khan
International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 2021.
- Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Cheonbok Park, Yunwon Tae, TaeHee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park and Jaegul Choo
ACL-IJCNLP 2021.
- Not just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
DaeJin Kim, Mohammad Azam Khan and Jaegul Choo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
- ASTERISK Based Open Source IP-PBX System for Accountable Customer Support Service
Mohammad Azam Khan and Khaled Mahmud Shahriar
3rd International Symposium on Computational and Business Intelligence (ISCBI), 2015.
Workshop
- Intelligent fault detection via dilated convolutional neural networks
Mohammad Azam Khan, Yong-Hwa Kim, and Jaegul Choo
IEEE International Conference on Big Data and Smart Computing, Computer Society (2018), pp. 729-731.
- Multi-class artefact detection in video endoscopy via convolution neural networks
Mohammad Azam Khan, and Jaegul Choo
In Proceedings of the 2019 Challenge on Endoscopy Artefacts Detection (EAD2019), Volume 2366 of CEUR Workshop Proceedings. CEUR-WS.org, 2019.
- Towards Lightweight Lane Detection by Optimizing Spatial Embedding
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, and Jaegul Choo
Workshop on Perception for Autonomous Driving (ECCV 2020), arXiv: 2008.08311.
Others
- (Accepted) SPIE-AAPM-NCI BreastPathQ Challenge: An image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
N. Petrick et al., Journal of Medical Imaging, 2021.
- DEVELOPMENT AND VALIDATION OF ARTIFICIAL INTELLIGENCE PROGRAM USING THE STANDARD 8 REGION IMAGING METHOD FOR THE QUALITY CONTROL OF ESOPHAGODUODENOGASTROSCOPY
SJ Choi, HS Choi, A Khan, J Choo, KW Lee, S Kim, HJ Jeon, JM Lee, ES Kim, B Keum, YT Jeen, HJ Chun, HS Lee, CD Kim
Endoscopy 2020; 52(S 01): S23-S24.
- A multi-organ nucleus segmentation challenge
Neeraj Kumar et al.
IEEE transactions on medical imaging, 39, Pages 1380-1391, 2020 (IF: 6.685, as of 2019)
- Multi-Organ Nuclei Segmentation using Mask R-CNN [Supplement of A multi-organ nucleus segmentation challenge]
Mohammad Azam Khan, Jaegul Choo, and Neeraj Kumar
Multi-Organ Nuclei Segmentation Challenge, MICCAI 2018.
