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Results for “"Tamjid Imtiaz"”

7 results

Automated Brain Tumor Segmentation Based on Multi-Planar Superpixel Level Features Extracted From 3D MR Images

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Tamjid Imtiaz, Shahriar Rifat, Shaikh Anowarul Fattah, Khan A. Wahid

Journal: IEEE AccessYear: 2019Citations: 46

Brain tumor segmentation from Magnetic Resonance Imaging (MRI) is of great importance for better tumor diagnosis, growth rate prediction and radiotherapy planning. But this task is extremely challenging due to intrinsically heterogeneous tumor appearance, the presence of severe partial volume effect...

Life SciencesNeuroscienceNeurologyOpen Access
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CapsCovNet: A Modified Capsule Network to Diagnose COVID-19 From Multimodal Medical Imaging

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A. F. M. Saif, Tamjid Imtiaz, Shahriar Rifat, Celia Shahnaz et al.

Journal: IEEE Transactions on Artificial IntelligenceYear: 2021Citations: 31

Since the end of 2019, novel coronavirus disease (COVID-19) has brought about a plethora of unforeseen changes to the world as we know it. Despite our ceaseless fight against it, COVID-19 has claimed millions of lives, and the death toll exacerbated due to its extremely contagious and fast-spreading...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Exploiting Cascaded Ensemble of Features for the Detection of Tuberculosis Using Chest Radiographs

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A. F. M. Saif, Tamjid Imtiaz, Celia Shahnaz, Wei‐Ping Zhu et al.

Journal: IEEE AccessYear: 2021Citations: 22

Tuberculosis (TB) is a communicable disease that is one of the top 10 causes of death worldwide according to the World Health Organization. Hence, Early detection of Tuberculosis is an important task to save millions of lives from this life threatening disease. For diagnosing TB from chest X-Ray, di...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images

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Tamjid Imtiaz, Shaikh Anowarul Fattah, Sun‐Yuan Kung

Journal: Computers in Biology and MedicineYear: 2023Citations: 20

Precise cell nucleus segmentation is very critical in many biologically related analyses and disease diagnoses. However, the variability in nuclei structure, color, and modalities of histopathology images make the automatic computer-aided nuclei segmentation task very difficult. Traditional encoder-...

Physical SciencesComputer ScienceArtificial Intelligence
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ConDANet: Contourlet Driven Attention Network for Automatic Nuclei Segmentation in Histopathology Images

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Tamjid Imtiaz, Shaikh Anowarul Fattah, Mohammad Saquib

Journal: IEEE AccessYear: 2023Citations: 9

Cell nuclei segmentation, the task of identifying the precise boundary of the nucleus in each cell in a histopathology image, is a rudimentary task prior to single-cell analysis. While addressing this task, two of the major challenges are the precise delineation of the small-shaped nucleus structure...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Facile alignment estimation in carbon nanotube films using image processing

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Tamjid Imtiaz, Jacques Doumani, Fuyang Tay, Natsumi Komatsu et al.

Journal: Signal ProcessingYear: 2022Citations: 5
Life SciencesBiochemistry, Genetics and Molecular BiologyStructural BiologyOpen Access
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Automated Brain Tumor Segmentation from MRI Data Based on Local Region Analysis

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Tamjid Imtiaz, Shahriar Rifat, Shaikh Anowarul Fattah

Year: 2019Citations: 3

Magnetic resonance imaging for its excellent contrast information about brain tissues from a variety of excitation sequences has become the standard modality of choice for brain tumor diagnosis. Accurate delineation of tumor region prior to invasive surgery is a must and yet very tedious to be done ...

Life SciencesNeuroscienceNeurology
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