Tahir Mahmood - RankMe

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A lightweight hierarchical feature fusion network for surgical instrument segmentation in internet of medical things. Inf. Fusion Tahir Mahmood, Ganbayar Batchuluun, Seung Gu Kim, Jung Soo Kim, Kang Ryoung Park
2024	J	`jnl`	A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention. Eng. Appl. Artif. Intell. Tahir Mahmood, Abdul Wahid, Jin Seong Hong, Seung Gu Kim, Kang Ryoung Park
2024	J	`jnl`	Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images. Eng. Appl. Artif. Intell. Abdul Wahid, Tahir Mahmood, Jin Seong Hong, Seung Gu Kim, Nadeem Ullah, Rehan Akram, Kang Ryoung Park
2023	J	`jnl`	Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network. J. King Saud Univ. Comput. Inf. Sci. Tahir Mahmood, Jiho Choi, Kang Ryoung Park
2023	J	`jnl`	CFFR-Net: A channel-wise features fusion and recalibration network for surgical instruments segmentation. Eng. Appl. Artif. Intell. Tahir Mahmood, Jin Seong Hong, Nadeem Ullah, Sung Jae Lee, Abdul Wahid, Kang Ryoung Park
2023	J	`jnl`	DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms. Eng. Appl. Artif. Intell. Nadeem Ullah, Tahir Mahmood, Seung Gu Kim, Se Hyun Nam, Haseeb Sultan, Kang Ryoung Park
2022	J	`jnl`	Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. Expert Syst. Appl. Adnan Haider, Muhammad Arsalan, Min Beom Lee, Muhammad Owais, Tahir Mahmood, Haseeb Sultan, Kang Ryoung Park
2022	J	`jnl`	DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery. Expert Syst. Appl. Tahir Mahmood, Se Woon Cho, Kang Ryoung Park
2021	J	`jnl`	Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. Appl. Soft Comput. Muhammad Owais, Hyo Sik Yoon, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park
2021	J	`jnl`	Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. IEEE J. Biomed. Health Informatics Muhammad Owais, Young Won Lee, Tahir Mahmood, Adnan Haider, Haseeb Sultan, Kang Ryoung Park
2020	J	`jnl`	Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa. Sensors Muhammad Arsalan, Na Rae Baek, Muhammad Owais, Tahir Mahmood, Kang Ryoung Park