Tahir Mahmood
Orcid: 0000-0003-1691-9532Affiliations:
- Dongguk University, Division of Electronics and Electrical Engineering, Seoul, Korea
According to our database1,
Tahir Mahmood
authored at least 10 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
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., 2024
A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention.
Eng. Appl. Artif. Intell., 2024
2023
CFFR-Net: A channel-wise features fusion and recalibration network for surgical instruments segmentation.
Eng. Appl. Artif. Intell., November, 2023
Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network.
J. King Saud Univ. Comput. Inf. Sci., February, 2023
DCDA-Net: Dual-convolutional dual-attention network for obstructive sleep apnea diagnosis from single-lead electrocardiograms.
Eng. Appl. Artif. Intell., 2023
2022
DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery.
Expert Syst. Appl., 2022
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images.
Expert Syst. Appl., 2022
2021
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.
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.
Appl. Soft Comput., 2021
2020
Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa.
Sensors, 2020