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ORCIDHee-Cheol Kim 0001
Heecheol Kim 0001 – Hee-Cheol (Ezra) Kim
Person information
- affiliation: Inje University, Department of Computer Engineering, Gimhae, South Korea
- affiliation (PhD 2001): Royal Institute of Technology, Department of Numerical Analysis and Computer Science, Stockholm, Sweden
Other persons with the same name
- Heecheol Kim 0002
![[0000-0002-3451-2288]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3451-2288")
— University of Tokyo, Graduate School of Information Science and Technology, Japan
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2020 – today
- 2024
[j17]Muhammad Yaseen, Maisam Ali, Sikandar Ali, Ali Hussain, Moon-Il Joo, Hee-Cheol (Ezra) Kim:
Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology. IEEE Access 12: 72131-72142 (2024)- [j16]Khadija Begum, Md Ariful Islam Mozumder, Moon-Il Joo, Heecheol Kim:
BFLIDS: Blockchain-Driven Federated Learning for Intrusion Detection in IoMT Networks. Sensors 24(14): 4591 (2024) - [c52]Maisam Ali, Muhammad Yaseen, Sikandar Ali, Hee-Cheol Kim:
Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer. ICACT 2024: 1-5 - [c51]Shah Muhammad Imtiyaj Uddin, Md Ariful Isalm Mojumder, Rashedul Islam Sumon, Joo Mon-il, Hee-Cheol Kim:
Leveraging Deep Learning for Automated Analysis of Colorectal Cancer Histology Images to Elevate Diagnosis Precision. ICACT 2024: 1-6 - [c50]Muhammad Yaseen, Maisam Ali, Sikander Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim:
Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO. ICACT 2024: 1-5 - [c49]Sikandar Ali, Samman Fatima, Ali Hussain, Maisam Ali, Muhammad Yaseen, Tagne Poupi Theodore Armand, Hee-Cheol Kim:
Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features. ICACT 2024: 211-215 - [c48]Kouayep Sonia Carole, Tagne Poupi Theodore Armand, Hee-Cheol Kim:
Enhanced Experiences: Benefits of AI-Powered Recommendation Systems. ICACT 2024: 216-220 - [c47]Kounen Fathima, Ali Athar, Hee-Cheol Kim:
Multi-Class Document Classification using LayoutLMv1 and V2. ICACT 2024: 286-289 - [c46]Md Ariful Islam Mozumder, Rashedul Islam Sumon, Ziaullah Khan, Shah Muhammad Imtiyaj Uddin, Muhammad Omair Khan, Hee-Cheol Kim:
AI-Based Logistics System Overview and a Workflow for Digital Freight Forwarding in Logistics. ICACT 2024: 295-299 - [c45]Tagne Poupi Theodore Armand, Kouayep Sonia Carole, Subrata Bhattacharjee, Md Ariful Islam Mozumder, Austin Oguejiofor Amaechi, Hee-Cheol Kim:
The Benefits of Integrating AI, IoT, and Blockchain in Healthcare Supply Chain Management: A Multi-Dimensional Analysis with Case Study. ICACT 2024: 300-304 - [c44]Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Hyun-Joong Kim, Ali Hussain, Sikandar Ali, Heung-Kook Choi, Hee-Cheol Kim:
Vision Transformer-based Model for Gastric Cancer Detection and Classification using Weakly Annotated Histopathological Images. ICACT 2024: 413-418 - [c43]Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Hee-Cheol Kim:
Overview of the Potentials of Multiple Instance Learning in Cancer Diagnosis: Applications, Challenges, and Future Directions. ICACT 2024: 419-425 - [c42]Tagne Poupi Theodore Armand, Subrata Bhattacharjee, Heung-Kook Choi, Hee-Cheol Kim:
Transformers Effectiveness in Medical Image Segmentation: A Comparative Analysis of UNet-Based Architectures. ICAIIC 2024: 238-242 - [c41]Tagne Poupi Theodore Armand, Opeyemi Deji-Oloruntoba, Subrata Bhattacharjee, Kintoh Allen Nfor, Hee-Cheol Kim:
Optimizing longevity: Integrating Smart Nutrition and Digital Technologies for Personalized Anti-aging Healthcare. ICAIIC 2024: 243-248 - 2023
- [j15]Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim:
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors 23(2): 565 (2023) - [c40]Ali Athar, Shah Mahsoom Ali, Md Ariful Islam Mozumder, Sikandar Ali, Hee-Cheol Kim:
Applications and Possible Challenges of Healthcare Metaverse. ICACT 2023: 328-332 - [c39]Shah Mahsoom Ali, Satyabrata Aich, Ali Athar, Hee-Cheol Kim:
Medical Education, Training and Treatment Using XR in Healthcare. ICACT 2023: 388-393 - [c38]Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Ali Athar, Hee-Cheol Kim:
The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry. ICACT 2023: 407-410 - [c37]Muhammad Mohsan Sheeraz, Md Ariful Islam Mozumder, Muhammad Omair Khan, Muhammad Usama Abid, Moon-Il Joo, Hee-Cheol Kim:
Blockchain System for Trustless Healthcare Data Sharing with Hyperledger Fabric in Action. ICACT 2023: 437-440 - [c36]Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashedul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Ali Athar, Hee-Cheol Kim:
The Metaverse for Intelligent Healthcare using XAI, Blockchain, and Immersive Technology. MetaCom 2023: 612-616 - [c35]Rashadul Islam Sumon, Md Ariful Islam Mozumder, Shah Muhammad Imtiyaj Uddin, Moon-Il Joo, Hee-Cheol Kim:
Enhanced Nuclei Segmentation in Histopathology Image Leveraging RGB Channels through Triple-Encoder and Single-Decoder Architectures. UEMCON 2023: 830-835 - 2022
- [j14]Ali Hussain, Sikandar Ali, Abdullah, Hee-Cheol Kim:
Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning. IEEE Access 10: 53153-53163 (2022) - [j13]Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim:
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors 22(24): 9983 (2022) - [j12]Mai Le, Quoc-Viet Pham, Hee-Cheol Kim, Won-Joo Hwang:
Enhanced Resource Allocation in D2D Communications With NOMA and Unlicensed Spectrum. IEEE Syst. J. 16(2): 2856-2866 (2022) - [c34]Satyabrata Aich, Nday Kabulo Sinai, Saurabh Kumar, Mohammed Ali, Yu Ran Choi, Moon-Il Joo, Hee-Cheol Kim:
Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies. ICACT 2022: 109-112 - [c33]Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar, Satyabrata Aich, Hee-Cheol Kim:
Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity. ICACT 2022: 256-261 - [c32]Ali Hussain, Ikromjanov Kobiljon Komil Ugli, Beom Su Kim, Minji Kim, Harin Ryu, Satyabrata Aich, Hee-Cheol Kim:
Detection of Different stages of COPD Patients Using Machine Learning Techniques. ICACT 2022: 368-372 - [c31]Ikromjanov Kobiljon Komil Ugli, Ali Hussain, Beom Su Kim, Satyabrata Aich, Hee-Cheol Kim:
A Transfer Learning Approach for Identification of Distracted Driving. ICACT 2022: 420-423 - [c30]Subrata Bhattacharjee, Yeong-Byn Hwang, Kobiljon Ikromjanov, Rashadul Islam Sumon, Hee-Cheol Kim, Heung-Kook Choi:
An Explainable Computer Vision in Histopathology: Techniques for Interpreting Black Box Model. ICAIIC 2022: 392-398 - [c29]Kobiljon Ikromjanov, Subrata Bhattacharjee, Yeong-Byn Hwang, Rashadul Islam Sumon, Hee-Cheol Kim, Heung-Kook Choi:
Whole Slide Image Analysis and Detection of Prostate Cancer using Vision Transformers. ICAIIC 2022: 399-402 - [c28]Subrata Bhattacharjee, Yeong-Byn Hwang, Rashadul Islam Sumon, Hafizur Rahman, Dong-Woo Hyeon, Damin Moon, Kouayep Sonia Carole, Hee-Cheol Kim, Heung-Kook Choi:
Cluster Analysis: Unsupervised Classification for Identifying Benign and Malignant Tumors on Whole Slide Image of Prostate Cancer. IPAS 2022: 1-5 - 2021
- [j11]Nadia Iradukunda, Quoc-Viet Pham, Ming Zeng, Hee-Cheol Kim, Won-Joo Hwang:
UAV-Enabled Wireless Backhaul Networks Using Non-Orthogonal Multiple Access. IEEE Access 9: 36689-36698 (2021) - [j10]Sabyasachi Chakraborty, Satyabrata Aich, Hee-Cheol Kim:
A Novel Sleep Scoring Algorithm-Based Framework and Sleep Pattern Analysis Using Machine Learning Techniques. Int. J. Syst. Dyn. Appl. 10(3): 1-20 (2021) - [c27]Satyabrata Aich, Nday Kabulo Sinai, Saurabh Kumar, Mohammed Ali, Yu Ran Choi, Moon-Il Joo, Hee-Cheol Kim:
Protecting Personal Healthcare Record Using Blockchain & Federated Learning Technologies. ICACT 2021: 109-112 - [c26]Ali Hussain, Ikromjanov Kobiljon Komil Ugli, Beom Su Kim, Minji Kim, Harin Ryu, Satyabrata Aich, Hee-Cheol Kim:
Detection of Different stages of COPD Patients Using Machine Learning Techniques. ICACT 2021: 368-372 - [c25]Ikromjanov Kobiljon Komil Ugli, Ali Hussain, Beom Su Kim, Satyabrata Aich, Hee-Cheol Kim:
A Transfer Learning Approach for Identification of Distracted Driving. ICACT 2021: 420-423 - [c24]Ali Athar, Sikandar Ali, Muhammad Mohsan Sheeraz, Subrata Bhattacharjee, Hee-Cheol Kim:
Sentimental Analysis of Movie Reviews using Soft Voting Ensemble-based Machine Learning. SNAMS 2021: 1-5 - 2020
- [c23]Sabyasachi Chakraborty, Satyabrata Aich, Avinash Kumar, Sobhangi Sarkar, Jong-Seong Sim, Hee-Cheol Kim:
Detection of cancerous tissue in histopathological images using Dual-Channel Residual Convolutional Neural Networks (DCRCNN). ICACT 2020: 197-202 - [c22]Sabyasachi Chakraborty, Satyabrata Aich, Jong-Seong Sim, Eunyoung Han, Jinse Park, Hee-Cheol Kim:
Parkinson's Disease Detection from Spiral and Wave Drawings using Convolutional Neural Networks: A Multistage Classifier Approach. ICACT 2020: 298-303 - [c21]Aseer Ahmad Ansari, Sabyasachi Chakraborty, Satyabrata Aich, Beom Su Kim, Hee-Cheol Kim:
Optimization of Healthcare Network for improved service delivery. ICACT 2020: 314-318
2010 – 2019
- 2019
- [j9]Yao Meng, Sang-Hoon Yi, Hee-Cheol Kim:
Health and Wellness Monitoring Using Intelligent Sensing Technique. J. Inf. Process. Syst. 15(3): 478-491 (2019) - [c20]Sabyasachi Chakraborty, Satyabrata Aich, Jong-Seong Sim, Hee-Cheol Kim:
A Blockchain based Credit Analysis Framework for Efficient Financial Systems. ICACT 2019: 56-60 - [c19]Satyabrata Aich, Sabyasachi Chakraborty, Mangal Sain, Hyein Lee, Hee-Cheol Kim:
A Review on Benefits of IoT Integrated Blockchain based Supply Chain Management Implementations across Different Sectors with Case Study. ICACT 2019: 138-141 - [c18]Sabyasachi Chakraborty, Satyabrata Aich, Hee-Cheol Kim:
A Secure Healthcare System Design Framework using Blockchain Technology. ICACT 2019: 260-264 - [c17]Satyabrata Aich, Hee-Cheol Kim, Kim Younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain:
A Supervised Machine Learning Approach using Different Feature Selection Techniques on Voice Datasets for Prediction of Parkinson's Disease. ICACT 2019: 1116-1121 - 2018
- [j8]Xingfeng Wang, Hee-Cheol Kim:
Text Categorization with Improved Deep Learning Methods. J. Inform. and Commun. Convergence Engineering 16(2) (2018) - [j7]Satyabrata Aich, Pyari Mohan Pradhan, Jinse Park, Nitin Sethi, Vemula Sai Sri Vathsa, Hee-Cheol Kim:
A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer. Sensors 18(10): 3287 (2018) - [c16]Mayank Mishra, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan:
A Novel Ramp-based Pulse Shaping Filter for Reducing Out of Band Emission in 5G GFDM System. TENCON 2018: 96-101 - [c15]Jitender Kapil, Ghanshyamkumar Sah, Satyabrata Aich, Hee-Cheol Kim, Pyari Mohan Pradhan:
3GPP LTE Downlink Channel Estimation in High-Mobility Environment Using Modified Extended Kalman Filter. TENCON 2018: 1015-1020 - 2017
- [j6]Xingfeng Wang, Hee-Cheol Kim:
New Feature Selection Method for Text Categorization. J. Inform. and Commun. Convergence Engineering 15(1) (2017) - 2016
- [j5]Ahmed Shdefat, Moonil Joo, Heecheol Kim:
A Method of Analyzing ECG to Diagnose Heart Abnormality utilizing SVM and DWT. J. Multim. Inf. Syst. 3(2): 35-42 (2016) - 2015
- [j4]Xingfeng Wang, Heecheol Kim:
Detecting User Activities with the Accelerometer on Android Smartphones. J. Multim. Inf. Syst. 2(2): 233-240 (2015) - [j3]Fei Hao, Shuai Li, Geyong Min, Hee-Cheol Kim, Stephen S. Yau, Laurence T. Yang:
An Efficient Approach to Generating Location-Sensitive Recommendations in Ad-hoc Social Network Environments. IEEE Trans. Serv. Comput. 8(3): 520-533 (2015) - 2013
- [c14]Shuai Li, Fei Hao, Mei Li, Hee-Cheol Kim:
Medicine Rating Prediction and Recommendation in Mobile Social Networks. GPC 2013: 216-223 - [c13]Yao Meng, Hee-Cheol Kim:
Towards design of technologies persuading more physical activity. Healthcom 2013: 710-712 - 2012
- [j2]Tae-Woong Kim, Hee-Cheol Kim:
A healthcare system as a service in the context of vital signs: Proposing a framework for realizing a model. Comput. Math. Appl. 64(5): 1324-1332 (2012) - [c12]Hee-Cheol Kim:
An Experimental Study to Explore Usability Problems of Interactive Voice Response Systems. ACIIDS (3) 2012: 169-177 - 2011
- [c11]Gi-Soo Chung, Hee-Cheol Kim:
Smart Clothes Are New Interactive Devices. HCI (23) 2011: 18-21 - [c10]Hee-Cheol Kim:
Time: A Premise of Virtual Life. HCI (22) 2011: 289-292 - [c9]Hee-Cheol Kim, Deyun Liu, Ho-Won Kim:
Inherent Usability Problems in Interactive Voice Response Systems. HCI (4) 2011: 476-483 - [c8]Yao Meng, Hee-Cheol Kim:
A Review of Accelerometer-Based Physical Activity Measurement. ICITCS 2011: 223-237
2000 – 2009
- 2008
- [c7]Tsogzolmaa Saizmaa, Hee-Cheol Kim:
A Holistic Understanding of HCI Perspectives on Smart Home. NCM (2) 2008: 59-65 - [c6]Hee-Cheol Kim:
Weaknesses of Voice Interaction. NCM (2) 2008: 740-745 - 2007
- [c5]Hee-Cheol Kim:
Aspiring for a Virtual Life. HCI (2) 2007: 615-623 - 2006
- [c4]Min-Kyung Kim, Hee-Cheol Kim:
How to Build Awareness-Supported Systems Without Sacrificing Privacy. CSCWD (Selected Papers) 2006: 609-618 - [c3]Min Kyung Kim, Hee-Cheol Kim:
Awareness and Privacy in Groupware Systems. CSCWD 2006: 984-988 - 2002
- [c2]Hee-Cheol Kim, Kerstin Severinson Eklundh:
Collaboration between Writer and Reviewer through Change Representation Tools. HICSS 2002: 39 - [c1]Hee-Cheol Kim:
From Comments to Dialogues: A Study of Asynchronous Dialogue Processes as Part of Collaborative Reviewing on the Web. HICSS 2002: 116 - 2001
- [j1]Hee-Cheol (Ezra) Kim, Kerstin Severinson Eklundh:
Reviewing Practices in Collaborative Writing. Comput. Support. Cooperative Work. 10(2): 247-259 (2001)
Coauthor Index
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