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ORCIDImran Fareed Nizami
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2020 – today
- 2023
[j19]Mobeen Ur Rehman
, Jihyoung Ryu, Imran Fareed Nizami, Kil To Chong:
RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames. Comput. Biol. Medicine 152: 106426 (2023)- [j18]Jihyoung Ryu, Mobeen Ur Rehman, Imran Fareed Nizami, Kil To Chong:
SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation. Comput. Biol. Medicine 163: 107132 (2023) - [j17]Shakeel Zafar, Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Jihyoung Ryu:
NISQE: Non-Intrusive Speech Quality Evaluator Based on Natural Statistics of Mean Subtracted Contrast Normalized Coefficients of Spectrogram. Sensors 23(12): 5652 (2023) - [c2]Mobeen Ur Rehman, Imran Fareed Nizami, Ali Ahsan, Kil To Chong:
Machine Learning Based Image Forgery Detection Using Natural Scene Statistics. eIT 2023: 304-308 - 2022
- [j16]Mobeen Ur Rehman, Imran Fareed Nizami, Muhammad Majid:
DeepRPN-BIQA: Deep architectures with region proposal network for natural-scene and screen-content blind image quality assessment. Displays 71: 102101 (2022) - [j15]Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid:
Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture. Multim. Tools Appl. 81(18): 25283-25300 (2022) - [j14]Imran Fareed Nizami, Mobeen Ur Rehman, Asad Waqar, Muhammad Majid:
Correction to: Impact of visual saliency on multi-distorted blind image quality assessment using deep neural architecture. Multim. Tools Appl. 81(18): 25301 (2022) - 2021
- [j13]Imran Fareed Nizami, Mehreen Akhtar, Asad Waqar, Amer Bilal Mann, Muhammad Majid:
Multiply distorted image quality assessment based on feature level fusion and optimal feature selection. Multim. Tools Appl. 80(14): 21843-21883 (2021) - [j12]Naima Aamir, Junaid Mir, Imran Fareed Nizami, Furqan Shaukat, Muhammad Majid:
HDR-BVQM: High dynamic range blind video quality model. Multim. Tools Appl. 80(18): 27701-27715 (2021) - [c1]Malik Waqar Aziz, Imran Fareed Nizami, Muhammad Majid:
Blind Quality Assessment of Super-Resolution Images using Relative Gradient Statistics of Salient and Non-salient Objects. ICIT 2021: 846-851 - 2020
- [j11]Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi R. Alnowami:
EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding. IEEE Access 8: 102502-102511 (2020) - [j10]Imran Fareed Nizami, Muhammad Majid, Mobeen Ur Rehman, Syed Muhammad Anwar, Ammara Nasim, Khawar Khurshid:
No-reference image quality assessment using bag-of-features with feature selection. Multim. Tools Appl. 79(11-12): 7811-7836 (2020) - [j9]Imran Fareed Nizami, Mobeen Ur Rehman, Muhammad Majid, Syed Muhammad Anwar:
Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform. Multim. Tools Appl. 79(35-36): 26285-26304 (2020)
2010 – 2019
- 2019
- [j8]Imran Fareed Nizami, Muhammad Majid, Waleed Manzoor, Khawar Khurshid, Byeungwoo Jeon:
Distortion-specific feature selection algorithm for universal blind image quality assessment. EURASIP J. Image Video Process. 2019: 19 (2019) - [j7]Maham Khan, Imran Fareed Nizami, Muhammad Majid:
No-reference image quality assessment using gradient magnitude and wiener filtered wavelet features. Multim. Tools Appl. 78(11): 14485-14509 (2019) - 2018
- [j6]Muhammad Zeeshan, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Ikram Ud Din, Muhammad Khurram Khan:
A Newly Developed Ground Truth Dataset for Visual Saliency in Videos. IEEE Access 6: 20855-20867 (2018) - [j5]Zahid Tufail, Khawar Khurshid, Ahmad Salman, Imran Fareed Nizami, Khurram Khurshid, Byeungwoo Jeon:
Improved Dark Channel Prior for Image Defogging Using RGB and YCbCr Color Space. IEEE Access 6: 32576-32587 (2018) - [j4]Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid:
New feature selection algorithms for no-reference image quality assessment. Appl. Intell. 48(10): 3482-3501 (2018) - [j3]Imran Fareed Nizami, Muhammad Majid, Khawar Khurshid:
Feature selection algorithm for no-reference image quality assessment using natural scene statistics. Turkish J. Electr. Eng. Comput. Sci. 26(5): 2163-2177 (2018) - 2010
- [j2]Imran Fareed Nizami, Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim:
Automatic gait recognition based on probabilistic approach. Int. J. Imaging Syst. Technol. 20(4): 400-408 (2010) - [j1]Heesung Lee, Sungjun Hong, Imran Fareed Nizami, Euntai Kim:
An efficient design of a nearest neighbor classifier for various-scale problems. Pattern Recognit. Lett. 31(9): 1020-1027 (2010)
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