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Jeonghwan Gwak
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- affiliation: Seoul National University Hospital, Seoul, Korea
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2020 – today
- 2025
- [j51]Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025) - 2024
- [j50]Naeem Jan, Jeonghwan Gwak, Muhammet Deveci, Vladimir Simic, Jurgita Antucheviciene:
Mathematical analysis of big data analytics under bipolar complex fuzzy soft information. Appl. Soft Comput. 157: 111481 (2024) - [j49]Naeem Jan, Jeonghwan Gwak, Shoukat Hussain, Abdul Nasir:
Mathematical Investigation of Communication and Network Securities Under Interval-Valued Complex Spherical Fuzzy Information. Int. J. Fuzzy Syst. 26(1): 87-104 (2024) - [j48]Naeem Jan, Jeonghwan Gwak, Dragan Pamucar, Hyoungku Kang:
An integrated complex T-spherical fuzzy set and soft set model for quantum computing and energy resource planning. Inf. Sci. 661: 120101 (2024) - [j47]Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon:
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media. J. Big Data 11(1): 12 (2024) - [j46]Saeed Ahmad, Zahid Ullah, Jeonghwan Gwak:
Multi-teacher cross-modal distillation with cooperative deep supervision fusion learning for unimodal segmentation. Knowl. Based Syst. 297: 111854 (2024) - [j45]Younghoon Jeon, Jaeyong Kang, Byeong C. Kim, Kun Ho Lee, Jong-In Song, Jeonghwan Gwak:
Smart Insole-Based Classification of Alzheimer's Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning. IEEE Trans. Consumer Electron. 70(2): 4699-4708 (2024) - 2023
- [j44]Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan, Anabia Sohail, Rafi Ullah Khalil, Jeonghwan Gwak:
CB-HVT Net: A Channel-Boosted Hybrid Vision Transformer Network for Lymphocyte Detection in Histopathological Images. IEEE Access 11: 115740-115750 (2023) - [j43]Xufeng Hu, Younghoon Jeon, Jeonghwan Gwak:
FFTransMOT: Feature-Fused Transformer for Enhanced Multi-Object Tracking. IEEE Access 11: 130060-130071 (2023) - [j42]Naeem Jan, Jeonghwan Gwak, Dragan Pamucar:
Mathematical analysis of generative adversarial networks based on complex picture fuzzy soft information. Appl. Soft Comput. 137: 110088 (2023) - [j41]Zeeshan Ali, Tahir Mahmood, Jeonghwan Gwak, Naeem Jan:
A novel extended Portuguese of Interactive and Multi-Criteria Decision Making and Archimedean Bonferroni mean operators based on prospect theory to select green supplier with complex q-rung orthopair fuzzy information. CAAI Trans. Intell. Technol. 8(1): 177-191 (2023) - [j40]Muhammad Umar Farooq, Zahid Ullah, Asifullah Khan, Jeonghwan Gwak:
DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs. Comput. Biol. Medicine 167: 107570 (2023) - [j39]Muhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak:
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography. Comput. Medical Imaging Graph. 104: 102173 (2023) - [j38]Zahid Ullah, Muhammad Usman, Jeonghwan Gwak:
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images. Expert Syst. Appl. 216: 119475 (2023) - [j37]Jeonghwan Gwak, Harish Garg, Naeem Jan:
Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation. Int. J. Fuzzy Syst. 25(5): 1834-1852 (2023) - [j36]Naeem Jan, Jeonghwan Gwak, Dragan Pamucar:
A robust hybrid decision making model for Human-Computer interaction in the environment of Bipolar complex picture fuzzy soft Sets. Inf. Sci. 645: 119163 (2023) - [j35]Naeem Jan, Jeonghwan Gwak, Dragan Pamucar, Luis Martínez:
Hybrid integrated decision-making model for operating system based on complex intuitionistic fuzzy and soft information. Inf. Sci. 651: 119592 (2023) - [j34]Naeem Jan, Jeonghwan Gwak, Jiaming Pei, Rabia Maqsood, Abdul Nasir:
Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information. IEEE Trans. Consumer Electron. 69(2): 183-193 (2023) - [i4]Muhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak:
Ensemble CNNs for Breast Tumor Classification. CoRR abs/2304.13727 (2023) - [i3]Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan, Anabia Sohail, Rafi Ullah Khalil, Jeonghwan Gwak:
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images. CoRR abs/2305.09211 (2023) - [i2]Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - [i1]Asifullah Khan, Zunaira Rauf, Abdul Rehman Khan, Saima Rathore, Saddam Hussain Khan, Najmus Sahar Shah, Umair Farooq, Hifsa Asif, Aqsa Asif, Umme Zahoora, Rafi Ullah Khalil, Suleman Qamar, Umme Hani Asif, Faiza Babar Khan, Abdul Majid, Jeonghwan Gwak:
A Recent Survey of Vision Transformers for Medical Image Segmentation. CoRR abs/2312.00634 (2023) - 2022
- [j33]Suleman Qamar, Saddam Hussain Khan, Muhammad Arif Arshad, Maryam Qamar, Jeonghwan Gwak, Asifullah Khan:
Autonomous Drone Swarm Navigation and Multitarget Tracking With Island Policy-Based Optimization Framework. IEEE Access 10: 91073-91091 (2022) - [j32]Muhammad Arif Arshad, Saddam Hussain Khan, Suleman Qamar, Muhammad Waleed Khan, Iqbal Murtza, Jeonghwan Gwak, Asifullah Khan:
Drone Navigation Using Region and Edge Exploitation-Based Deep CNN. IEEE Access 10: 95441-95450 (2022) - [j31]Hoyeon Ahn, Yoojin Hong, Hyunguk Choi, Jeonghwan Gwak, Moongu Jeon:
Tiny Asymmetric Feature Normalized Network for Person Re-Identification System. IEEE Access 10: 131318-131330 (2022) - [j30]Naeem Jan, Jeonghwan Gwak, Younghoon Jeon, Bushra Akram:
Investigation of Blockchain Technology by Using the Innovative Concepts of Complex Pythagorean Fuzzy Soft Information. Complex. 2022: 2274684:1-2274684:18 (2022) - [j29]Jinhee Park, Sehyeon Jang, Jeonghwan Gwak, Byeong C. Kim, Jang Jae Lee, Kyu Yeong Choi, Kun Ho Lee, Sung Chan Jun, Gil-Jin Jang, Sangtae Ahn:
Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. Expert Syst. Appl. 210: 118511 (2022) - [j28]Naeem Jan, Rabia Maqsood, Abdul Nasir, Muhammad Arif, Jeonghwan Gwak:
A Predictive Analysis of Key Factors Defining the Successful International Trades in the Environment of Complex Cubic Fuzzy Information. Int. J. Fuzzy Syst. 24(6): 2673-2686 (2022) - [j27]Hyunsu Jeong, Hyunwook Kim, Jiwon Yoon, Kyungsup Go, Jeonghwan Gwak:
OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images. Int. J. Imaging Syst. Technol. 32(4): 1035-1048 (2022) - [j26]Jongmin Yu, Jung-Gyun Kim, Jeonghwan Gwak, Byung-Geun Lee, Moongu Jeon:
Abnormal event detection using adversarial predictive coding for motion and appearance. Inf. Sci. 586: 59-73 (2022) - [j25]Zahid Ullah, Muhammad Usman, Moongu Jeon, Jeonghwan Gwak:
Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation. Inf. Sci. 608: 1541-1556 (2022) - [j24]Jaeyong Kang, Jeonghwan Gwak:
Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification. Multim. Tools Appl. 81(16): 22355-22377 (2022) - 2021
- [j23]Junaid Khan, Muhammad Fayaz, Ayyaz Hussain, Shah Khalid, Wali Khan Mashwani, Jeonghwan Gwak:
An Improved Alpha Beta Filter Using a Deep Extreme Learning Machine. IEEE Access 9: 61548-61564 (2021) - [j22]Abdul Nasir, Naeem Jan, Jeonghwan Gwak, Sami Ullah Khan:
Investigation of Financial Track Records by Using Some Novel Concepts of Complex q-Rung Orthopair Fuzzy Information. IEEE Access 9: 152857-152877 (2021) - [j21]Muhammad Fayaz, Jawad Haider, Muhammad Bilal Qureshi, Muhammad Shuaib Qureshi, Shabana Habib, Jeonghwan Gwak:
An Effective Classification Methodology for Brain MRI Classification Based on Statistical Features, DWT and Blended ANN. IEEE Access 9: 159146-159159 (2021) - [j20]Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak:
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers. Sensors 21(6): 2222 (2021) - [j19]Muhammad Fayaz, Nurlan Torokeldiev, Samat Turdumamatov, Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Jeonghwan Gwak:
An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network. Sensors 21(22): 7480 (2021) - 2020
- [j18]Kwangjin Yoon, Jeonghwan Gwak, Young-min Song, Young-Chul Yoon, Moongu Jeon:
OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association. IEEE Access 8: 38060-38072 (2020) - [j17]Jaeyong Kang, Jeonghwan Gwak:
Corrections to "Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images". IEEE Access 8: 100010-100012 (2020) - [j16]Thi Kieu Khanh Ho, Jeonghwan Gwak:
Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-Ray Abnormalities. IEEE Access 8: 160749-160761 (2020) - [j15]Junho Ahn, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak:
Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews. J. Medical Imaging Health Informatics 10(11): 2532-2542 (2020) - [c16]Jaeyong Kang, Jeonghwan Gwak:
KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation. MediaEval 2020
2010 – 2019
- 2019
- [j14]Thi Kieu Khanh Ho, Jeonghwan Gwak, Chang Min Park, Jong-In Song:
Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches. IEEE Access 7: 24392-24403 (2019) - [j13]Jaeyong Kang, Jeonghwan Gwak:
Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images. IEEE Access 7: 26440-26447 (2019) - [j12]Thi Kieu Khanh Ho, Jeonghwan Gwak:
Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences From RNA A-to-I Editing Events. IEEE Access 7: 127464-127474 (2019) - [j11]Changyon Kim, Jeonghwan Gwak, Daeyoung Shim, Moongu Jeon:
A framework for automatically constructing a dataset for training a vehicle detector. Int. J. Comput. Vis. Robotics 9(2): 192-206 (2019) - [j10]Jeonghwan Gwak, Juho Jung, Ryumduck Oh, Manbok Park, Mukhammad Abdu Kayumbek Rakhimov, Junho Ahn:
A Review of Intelligent Self-Driving Vehicle Software Research. KSII Trans. Internet Inf. Syst. 13(11): 5299-5320 (2019) - [c15]Thi Kieu Khanh Ho, Jeonghwan Gwak, Om Prakash, Jong-In Song, Chang Min Park:
Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography. ACIIDS (2) 2019: 395-403 - 2018
- [j9]Chanuk Lim, Jeonghwan Gwak, Moongu Jeon:
Configuration of a min-cost flow network for data association in multi-object tracking. Int. J. Comput. Vis. Robotics 8(6): 572-590 (2018) - [c14]Manish Khare, Prashant K. Srivastava, Jeonghwan Gwak, Ashish Khare:
A Multiresolution Approach for Content-Based Image Retrieval Using Wavelet Transform of Local Binary Pattern. ACIIDS (2) 2018: 529-538 - 2017
- [j8]Jeonghwan Gwak:
Multi-object tracking through learning relational appearance features and motion patterns. Comput. Vis. Image Underst. 162: 103-115 (2017) - [j7]Jeonghwan Gwak, Geunpyo Park, Moongu Jeon:
Viewpoint Invariant Person Re-Identification for Global Multi-Object Tracking with Non-Overlapping Cameras. KSII Trans. Internet Inf. Syst. 11(4): 2075-2092 (2017) - [j6]Ehwa Yang, Jeonghwan Gwak, Moongu Jeon:
Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications. Multim. Tools Appl. 76(5): 6731-6754 (2017) - [j5]Ehwa Yang, Jeonghwan Gwak, Moongu Jeon:
Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning. Sensors 17(3): 617 (2017) - [c13]Manish Khare, Jeonghwan Gwak, Moongu Jeon:
Complex wavelet transform-based approach for human action recognition in video. ICCAIS 2017: 157-162 - 2016
- [j4]Jeonghwan Gwak, Moongu Jeon, Witold Pedrycz:
Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies. Soft Comput. 20(6): 2149-2176 (2016) - [c12]Jongmin Yu, Jeonghwan Gwak, Moongu Jeon:
Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. ICCAIS 2016: 106-111 - [c11]Hae-Rim Shin, Jeonghwan Gwak, Jongmin Yu, Moongu Jeon:
Feature flow-based abnormal event detection using a scene-adaptive cuboid determination method. ICCAIS 2016: 205-209 - [c10]Yongsang Yoon, Jeonghwan Gwak, Jong-In Song, Moongu Jeon:
Conditional marked point process-based crowd counting in sparsely and moderately crowded scenes. ICCAIS 2016: 215-220 - [c9]Ahlam Mallak, Jeonghwan Gwak, Jong-In Song, Sang-Woong Lee:
Computational and Comparative Study on Multiple Kernel Learning Approaches for the Classification Problem of Alzheimer's Disease. ICTCC 2016: 334-341 - [c8]Jongmin Yu, Jeonghwan Gwak, SeongJong Noh, Moongu Jeon:
Abnormal Event Detection using Scene Partitioning by Regional Activity Pattern Analysis. VISIGRAPP (3: VISAPP) 2016: 636-643 - 2015
- [c7]Gyeong-Soo Noh, Jeonghwan Gwak, Moongu Jeon:
A systematic framework for real-time online multi-object tracking. ICCAIS 2015: 57-61 - [c6]Jongmin Yu, Jeonghwan Gwak, Sejeong Lee, Moongu Jeon:
An incremental learning approach for restricted boltzmann machines. ICCAIS 2015: 113-117 - [c5]Jie Sheng Tham, Yoong Choon Chang, Mohammad Faizal Ahmad Fauzi, Jeonghwan Gwak:
Object recognition using depth information of a consumer depth camera. ICCAIS 2015: 203-208 - 2014
- [j3]Jeonghwan Gwak, Kwang Mong Sim, Moongu Jeon:
Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies. Inf. Sci. 273: 1-32 (2014) - [c4]Hyunguk Choi, Jeonghwan Gwak, Hyeonseung Song, Hong-Gyoo Sohn:
An efficient object detection algorithm for large-size images based on a hierarchical semantic grouping approach. ICCAIS 2014: 127-131 - [c3]Jeonghwan Gwak, Moongu Jeon:
An improved kernel-induced possibilistic fuzzy c-means clustering algorithm based on dispersion control. ICCAIS 2014: 170-175 - 2013
- [j2]Jeonghwan Gwak, Kwang Mong Sim:
A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDAs. Appl. Intell. 38(3): 384-417 (2013) - [j1]Jeonghwan Gwak, Kwang Mong Sim:
An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies. Appl. Intell. 38(4): 600-619 (2013) - [c2]Jeonghwan Gwak, Moongu Jeon:
A robust real-coded genetic algorithm using an ensemble of crossover operators. GECCO (Companion) 2013: 1737-1738 - 2010
- [c1]Jeonghwan Gwak, Kwang Mong Sim:
Novel dynamic diversity controlling EDA and its application to automated bilateral negotiation. BIC-TA 2010: 536-544
Coauthor Index
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