Search research articles
Contact Us
Filters
Showing results (1-10 of 17) with videos related to
Page
of 2
Sort By:
Accident; Analysis and Prevention
|
February 17, 2022
Artificial intelligence-aided railroad trespassing detection and data analytics: Methodology and a case study
Zhipeng Zhang, Asim Zaman, Jinxuan Xu, et al.
Heliyon
|
May 20, 2024
Customized <i>m</i>-RCNN and hybrid deep classifier for liver cancer segmentation and classification
Rashid Khan, Liyilei Su, Asim Zaman, et al.
Methods (San Diego, Calif.)
|
April 30, 2025
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation
Asim Zaman, Mazen M Yassin, Irfan Mehmud, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
February 12, 2026
VFA-Net3D: A zero-shot vascular flow-guided 3D network for brain vessel segmentation in acute ischemic stroke
Asim Zaman, Mazen M Yassin, Rashid Khan, et al.
Life (Basel, Switzerland)
|
September 23, 2022
Cerebral Venous Oxygen Saturation in Hypoperfusion Regions May Become a New Imaging Indicator to Predict the Clinical Outcome of Stroke
Fengqiu Cao, Mingming Wang, Shengyu Fan, et al.
Mathematical Biosciences and Engineering : MBE
|
February 2, 2024
Determining acute ischemic stroke onset time using machine learning and radiomics features of infarct lesions and whole brain
Jiaxi Lu, Yingwei Guo, Mingming Wang, et al.
Digital Health
|
November 19, 2024
MLAU-Net: Deep supervised attention and hybrid loss strategies for enhanced segmentation of low-resolution kidney ultrasound
Rashid Khan, Asim Zaman, Chao Chen, et al.
Life (Basel, Switzerland)
|
November 26, 2022
The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction
Yingwei Guo, Yingjian Yang, Mingming Wang, et al.
Frontiers in Neuroscience
|
April 29, 2024
Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging
Asim Zaman, Haseeb Hassan, Xueqiang Zeng, et al.
Journal of Clinical Medicine
|
September 23, 2022
A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke
Yingwei Guo, Yingjian Yang, Fengqiu Cao, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Accident; Analysis and Prevention
|
February 17, 2022
Artificial intelligence-aided railroad trespassing detection and data analytics: Methodology and a case study
Zhipeng Zhang, Asim Zaman, Jinxuan Xu, et al.
Heliyon
|
May 20, 2024
Customized <i>m</i>-RCNN and hybrid deep classifier for liver cancer segmentation and classification
Rashid Khan, Liyilei Su, Asim Zaman, et al.
Methods (San Diego, Calif.)
|
April 30, 2025
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation
Asim Zaman, Mazen M Yassin, Irfan Mehmud, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
February 12, 2026
VFA-Net3D: A zero-shot vascular flow-guided 3D network for brain vessel segmentation in acute ischemic stroke
Asim Zaman, Mazen M Yassin, Rashid Khan, et al.
Life (Basel, Switzerland)
|
September 23, 2022
Cerebral Venous Oxygen Saturation in Hypoperfusion Regions May Become a New Imaging Indicator to Predict the Clinical Outcome of Stroke
Fengqiu Cao, Mingming Wang, Shengyu Fan, et al.
Mathematical Biosciences and Engineering : MBE
|
February 2, 2024
Determining acute ischemic stroke onset time using machine learning and radiomics features of infarct lesions and whole brain
Jiaxi Lu, Yingwei Guo, Mingming Wang, et al.
Digital Health
|
November 19, 2024
MLAU-Net: Deep supervised attention and hybrid loss strategies for enhanced segmentation of low-resolution kidney ultrasound
Rashid Khan, Asim Zaman, Chao Chen, et al.
Life (Basel, Switzerland)
|
November 26, 2022
The Combination of Whole-Brain Features and Local-Lesion Features in DSC-PWI May Improve Ischemic Stroke Outcome Prediction
Yingwei Guo, Yingjian Yang, Mingming Wang, et al.
Frontiers in Neuroscience
|
April 29, 2024
Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging
Asim Zaman, Haseeb Hassan, Xueqiang Zeng, et al.
Journal of Clinical Medicine
|
September 23, 2022
A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke
Yingwei Guo, Yingjian Yang, Fengqiu Cao, et al.
Page
of 2