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Haseeb Hassan
Haseeb Hassan
Shenzhen University, Shenzhen China, China
Verified email at sztu.edu.cn
Title
Cited by
Cited by
Year
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review
HHBH Rui Li,Chuda Xiao,Yongzhi Huang
Diagnostics, 2022
612022
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
H Hassan, Z Ren, H Zhao, S Huang, D Li, S Xiang, Y Kang, S Chen, ...
Computers in biology and medicine 141, 105123, 2022
392022
Real-time image dehazing by superpixels segmentation and guidance filter
H Hassan, AK Bashir, M Ahmad, VG Menon, IU Afridi, R Nawaz, B Luo
Journal of Real-Time Image Processing 18, 1555-1575, 2021
382021
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
H Hassan, Z Ren, C Zhou, MA Khan, Y Pan, J Zhao, B Huang
Computer Methods and Programs in Biomedicine 218, 106731, 2022
352022
A new multilevel reversible bit-planes data hiding technique based on histogram shifting of efficient compressed domain
R Abbasi, B Luo, G Rehman, H Hassan, MS Iqbal, L Xu
Vietnam Journal of Computer Science 5, 185-196, 2018
252018
Single image defocus estimation by modified Gaussian function
H Hassan, AK Bashir, R Abbasi, W Ahmad, B Luo
Transactions on Emerging Telecommunications Technologies 30 (6), e3611, 2019
222019
Deep segmentation networks for segmenting kidneys and detecting kidney stones in unenhanced abdominal CT images
D Li, C Xiao, Y Liu, Z Chen, H Hassan, L Su, J Liu, H Li, W Xie, W Zhong, ...
Diagnostics 12 (8), 1788, 2022
212022
Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm
R Abbasi, NM Faseeh Qureshi, H Hassan, T Saba, A Rehman, B Luo, ...
Transactions on Emerging Telecommunications Technologies 33 (3), e3680, 2022
182022
Effects of haze and dehazing on deep learning-based vision models
H Hassan, P Mishra, M Ahmad, AK Bashir, B Huang, B Luo
Applied Intelligence 52 (14), 16334-16352, 2022
132022
A cascaded 3d segmentation model for renal enhanced CT images
D Li, Z Chen, H Hassan, W Xie, B Huang
International Challenge on Kidney and Kidney Tumor Segmentation, 123-128, 2021
92021
Single image dehazing from repeated averaging filters
H Hassan, B Luo, Q Xin, R Abbasi, W Ahmad
2019 IEEE 8th Joint International Information Technology and Artificial …, 2019
82019
Attention-based advantage actor-critic algorithm with prioritized experience replay for complex 2-D robotic motion planning
C Zhou, B Huang, H Hassan, P Fränti
Journal of Intelligent Manufacturing 34 (1), 151-180, 2023
72023
A Robust Brain Tumor Detector Using BiLSTM and Mayfly Optimization and Multi-Level Thresholding
R Mahum, M Sharaf, H Hassan, L Liang, B Huang
Biomedicines 11 (6), 1715, 2023
42023
3d cross-pseudo supervision (3d-cps): A semi-supervised nnu-net architecture for abdominal organ segmentation
Y Huang, H Zhang, Y Yan, H Hassan
MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022
42022
Contrast-Enhanced CT Renal Tumor Segmentation
C Xiao, H Hassan, B Huang
International Challenge on Kidney and Kidney Tumor Segmentation, 116-122, 2021
42021
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
C Zhou, C Wang, H Hassan, H Shah, B Huang, P Fränti
arXiv preprint arXiv:2307.08024, 2023
32023
Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution
X Zeng, Y Guo, A Zaman, H Hassan, J Lu, J Xu, H Yang, X Miao, A Cao, ...
Diagnostics 13 (13), 2161, 2023
22023
Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging
A Zaman, H Hassan, X Zeng, R Khan, J Lu, H Yang, X Miao, A Cao, ...
Frontiers in Neuroscience 18, 1363930, 2024
2024
DeepDet: YAMNet with BottleNeck Attention Module (BAM) TTS synthesis detection
R Mahum, A Irtaza, A Javed, HA Mahmoud, H Hassan
EURASIP Journal on Audio, Speech, and Music Processing 2024 (1), 18, 2024
2024
Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images
Z Chen, C Xiao, Y Liu, H Hassan, D Li, J Liu, H Li, W Xie, W Zhong, ...
Information Systems Frontiers, 1-15, 2024
2024
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