Haseeb Sultan

According to our database, Haseeb Sultan authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep learning-based classification and segmentation of brain tumor progression with clinical pipeline by generative artificial intelligence.

Haseeb Sultan, Zeeshan Ullah, Kang Ryoung Park, Jihie Kim

Expert Syst. Appl., 2026

2025

Convolutional self-attention with adaptive channel-attention network for obstructive sleep apnea detection using limited training data.

Nadeem Ullah, Haseeb Sultan, Jin Seong Hong, Seung Gu Kim, Rehan Akram, Kang Ryoung Park

Eng. Appl. Artif. Intell., 2025

2024

Dilated multilevel fused network for virus classification using transmission electron microscopy images.

Muhammad Usman, Haseeb Sultan, Jin Seong Hong, Seung Gu Kim, Rehan Akram, Hafiz Ali Hamza Gondal, Muhammad Hamza Tariq, Kang Ryoung Park

Eng. Appl. Artif. Intell., 2024

Advancing ECG Diagnosis Using Reinforcement Learning on Global Waveform Variations Related to P Wave and PR Interval.

Rumsha Fatima, Shahzad Younis, Faraz Shaikh, Hamna Imran, Haseeb Sultan, Shahzad Rasool, Mehak Rafiq

CoRR, 2024

Multi-scale and multi-receptive field-based feature fusion for robust segmentation of plant disease and fruit using agricultural images.

Adnan Haider, Muhammad Arsalan, Jin Seong Hong, Haseeb Sultan, Nadeem Ullah, Kang Ryoung Park

Appl. Soft Comput., 2024

2023

MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data.

Haseeb Sultan, Muhammad Owais, Se Hyun Nam, Adnan Haider, Rehan Akram, Muhammad Usman, Kang Ryoung Park

J. King Saud Univ. Comput. Inf. Sci., May, 2023

Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion.

Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park

J. King Saud Univ. Comput. Inf. Sci., March, 2023

Exploring deep feature-blending capabilities to assist glaucoma screening.

Adnan Haider, Muhammad Arsalan, Chanhum Park, Haseeb Sultan, Kang Ryoung Park

Appl. Soft Comput., January, 2023

DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms.

Nadeem Ullah, Tahir Mahmood, Seung Gu Kim, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park

Eng. Appl. Artif. Intell., 2023

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images.

Adnan Haider, Muhammad Arsalan, Se Hyun Nam, Jin Seong Hong, Haseeb Sultan, Kang Ryoung Park

Eng. Appl. Artif. Intell., 2023

2022

Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images.

Adnan Haider, Muhammad Arsalan, Min Beom Lee, Muhammad Owais, Tahir Mahmood, Haseeb Sultan, Kang Ryoung Park

Expert Syst. Appl., 2022

2021

Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.

Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park

IEEE J. Biomed. Health Informatics, 2021

Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database.

Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park

Appl. Soft Comput., 2021