Haseeb Sultan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Information Fusion

Cancer Diagnosis

Retinal Fundus Images

Top Venues

Eng. Appl. Artif. Intell.

J. King Saud Univ. Comput. Inf. Sci.

Appl. Soft Comput.

Publications

Rumsha Fatima, Shahzad Younis, Faraz Shaikh, Hamna Imran, Haseeb Sultan, Shahzad Rasool, Mehak Rafiq
Advancing ECG Diagnosis Using Reinforcement Learning on Global Waveform Variations Related to P Wave and PR Interval. CoRR (2024)
Nadeem Ullah, Tahir Mahmood, Seung Gu Kim, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park
DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Jin Seong Hong, Haseeb Sultan, Kang Ryoung Park
Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images. Eng. Appl. Artif. Intell. 125 (2023)
Haseeb Sultan, Muhammad Owais, Se Hyun Nam, Adnan Haider, Rehan Akram, Muhammad Usman, Kang Ryoung Park
MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data. J. King Saud Univ. Comput. Inf. Sci. 35 (5) (2023)
Adnan Haider, Muhammad Arsalan, Chanhum Park, Haseeb Sultan, Kang Ryoung Park
Exploring deep feature-blending capabilities to assist glaucoma screening. Appl. Soft Comput. 133 (2023)
Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park
Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion. J. King Saud Univ. Comput. Inf. Sci. 35 (3) (2023)
Adnan Haider, Muhammad Arsalan, Min Beom Lee, Muhammad Owais, Tahir Mahmood, Haseeb Sultan, Kang Ryoung Park
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. Expert Syst. Appl. 207 (2022)
Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. Appl. Soft Comput. 108 (2021)
Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. IEEE J. Biomed. Health Informatics 25 (6) (2021)