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2020 – today
- 2024
[j6]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)- [c10]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 - [c9]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 - [c8]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 - [i4]Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar:
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i3]Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie:
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR abs/2405.18368 (2024) - [i2]Taimoor Ul Islam, Joshua Ofori Boateng, Md Nadim, Guoying Zu, Mukaram Shahid, Xun Li, Tianyi Zhang, Salil Reddy, Wei Xu, Ataberk Atalar, Vincent Lee, Yung-Fu Chen, Evan Gosling, Elisabeth Permatasari, Christ Somiah, Zhibo Meng, Sarath Babu, Mohammed Soliman, Ali Hussain, Daji Qiao, Mai Zheng, Ozdal Boyraz, Yong Guan, Anish Arora, Mohamed Selim, Arsalan Ahmad, Myra B. Cohen, Mike Luby, Ranveer Chandra, James Gross, Hongwei Zhang:
Design and Implementation of ARA Wireless Living Lab for Rural Broadband and Applications. CoRR abs/2408.00913 (2024) - 2023
- [j5]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) - [c7]Sampson E. Akwafuo, Ali Hussain, Christopher Ihinegbu:
Recurrent Lassa Fever Outbreaks: Spatiotemporal Analysis and Modelling of Environmental Intervention Strategies. CoDIT 2023: 82-87 - [i1]Muhammad Nadeem, Faisal Bukhari, Ali Hussain:
Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19. CoRR abs/2301.00031 (2023) - 2022
- [j4]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) - [j3]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) - [c6]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 - [c5]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 - [d1]Ali Hussain:
Dog activity. IEEE DataPort, 2022
- 2021
- [j2]Amir Zaib Abbasi, Umair Rehman, Ali Hussain, Ding Hooi Ting, Jamid Ul Islam:
The impact of advertising value of in-game pop-up ads in online gaming on gamers' inspiration: An empirical investigation. Telematics Informatics 62: 101630 (2021) - [c4]Ali Hussain, Ding Hooi Ting, Helmut Hlavacs, Amir Zaib Abbasi:
In-Game Virtual Consumption and Online Video Game Addiction: A Conceptual Model. HCI (28) 2021: 210-218 - [c3]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 - [c2]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 - 2020
- [j1]Ali Hussain, Miss Laiha Mat Kiah, Nor Badrul Anuar, Rafidah Md Noor, Muneer Ahmad:
Performance and Security Challenges Digital Rights Management (DRM) Approaches Using Fog Computing for Data Provenance: A Survey. J. Medical Imaging Health Informatics 10(10): 2404-2420 (2020) - [c1]Amir Zaib Abbasi, Ali Hussain, Helmut Hlavacs, Muhammad Umair Shah, Ding Hooi Ting, Umair Rehman:
Customer Inspiration via Advertising Value of Pop-Up Ads in Online Games. HCI (31) 2020: 251-259
Coauthor Index
aka: Hee-Cheol (Ezra) Kim
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