Haseeb Hassan
Haseeb Hassan
Shenzhen University, Shenzhen China, China
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Zitiert von
Zitiert von
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review
HHBH Rui Li,Chuda Xiao,Yongzhi Huang
Diagnostics, 2022
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
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
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
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
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
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
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
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
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
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
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
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
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
Contrast-Enhanced CT Renal Tumor Segmentation
C Xiao, H Hassan, B Huang
International Challenge on Kidney and Kidney Tumor Segmentation, 116-122, 2021
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
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
Tran-DSR: A hybrid model for dysarthric speech recognition using transformer encoder and ensemble learning
R Mahum, AM El-Sherbeeny, K Alkhaledi, H Hassan
Applied Acoustics 222, 110019, 2024
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
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
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