Akra, M.
* 1999: Sampling of Images for Efficient Model-Based Vision
Akram Ali Hammouri, Z.[Ziad]
* 2022: Fast Support Vector Classification for Large-Scale Problems
Includes: Akram Ali Hammouri, Z.[Ziad] Akram-Ali-Hammouri, Z.[Ziad]
Akram, A.[Arbish]
* 2020: Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis
* 2021: Pixel-based Facial Expression Synthesis
* 2023: SARGAN: Spatial Attention-Based Residuals for Facial Expression Manipulation
Akram, B.[Bita]
* 2015: CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines
Akram, F.[Farhan]
* 2016: Analysis of Temporal Coherence in Videos for Action Recognition
Akram, G.[Ghazala]
* 2020: Shape Preserving Properties with Constraints on the Tension Parameter of Binary Three-Point Approximating Subdivision Scheme
Akram, H.[Hamna]
* 2022: Learning to resolve uncertainties for large-scale face recognition
Akram, M.[Muhammad]
* 2010: Fast multiframe motion estimation for surveillance videos
* 2013: Fast motion estimation for surveillance video compression
Akram, M.N.[Muhammad Nadeem]
* 2010: Speckle suppression in projection displays by using a motionless changing diffuser
* 2020: Wavelet Based Thresholding for Fourier Ptychography Microscopy
Includes: Akram, M.N.[Muhammad Nadeem] Akram, M.N.
Akram, M.S.H.
* 2017: Keynote speaker: State of the art brain PET inserts for the existing MRI system
Akram, M.T.[Muhammad Tahir]
* 2023: Effective data augmentation for brain tumor segmentation
Akram, M.U.[M. Usman]
* 2008: Fingerprint Image Postprocessing Using Windowing Technique
* 2008: Modified Singular Point Detection Algorithm, A
* 2009: Gabor wavelet based vessel segmentation in retinal images
* 2010: Retinal Images: Optic Disk Localization and Detection
* 2012: Detection of Neovascularization for Screening of Proliferative Diabetic Retinopathy
* 2013: Identification and classification of microaneurysms for early detection of diabetic retinopathy
* 2014: Automated system for the detection of hypertensive retinopathy
* 2014: Bright region and vessel density based robust optic disc segmentation
* 2014: Detection of Hemorrhages in Colored Fundus Images Using Non Uniform Illumination Estimation
* 2014: Dorsal hand veins based person identification
* 2014: Robust Algorithm for Optic Disc Segmentation from Colored Fundus Images, A
* 2015: Retinal Blood Vessels Differentiation for Calculation of Arterio-Venous Ratio
* 2016: Automated segmentation of RPE layer for the detection of age macular degeneration using OCT images
* 2017: Improved automated detection of glaucoma from fundus image using hybrid structural and textural features
* 2018: BIOMISA Retinal Image Database for Macular and Ocular Syndromes
* 2018: Fully Convolutional Neural Network for Lungs Segmentation from Chest X-Rays
* 2019: Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images
* 2019: Multiprocessor architecture for real-time applications using mean shift clustering
* 2020: Improved automated detection of glaucoma by correlating fundus and SD-OCT image analysis
* 2020: Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images
* 2021: Automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images
* 2021: study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage, A
* 2022: deep learning approach for the classification of TB from NIH CXR dataset, A
Includes: Akram, M.U.[M. Usman] Akram, M.U. Akram, M.U.[Muhammad Usman] Akram, M.U.[Muhammad U.]
23 for Akram, M.U.
Akram, M.W.[Muhammad Waqar]
* 2020: Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy
* 2022: Secure and Lightweight Drones-Access Protocol for Smart City Surveillance, A
Includes: Akram, M.W.[Muhammad Waqar] Akram, M.W.[Muhammad Wahid]
Akram, S.[Sheeraz]
* 2024: Performance analysis of state-of-the-art CNN architectures for brain tumour detection
Akram, S.U.[Saad Ullah]
* 2014: Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach
* 2016: Cell proposal network for microscopy image analysis
* 2021: Generalizable Pedestrian Detection: The Elephant In The Room
Includes: Akram, S.U.[Saad Ullah] Akram, S.U.
Akram, T.[Tallha]
* 2018: License number plate recognition system using entropy-based features selection approach with SVM
* 2020: Developed Newton-Raphson based deep features selection framework for skin lesion recognition
* 2020: Improved strategy for human action recognition: Experiencing a cascaded design
* 2021: Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
* 2023: SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM
Akram, U.
* 2016: Automatic Urdu Speech Recognition using Hidden Markov Model
Akramkhanov, A.[Akmal]
* 2018: Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series
Akramullah, S.M.
* 1997: Performance of Software-Based MPEG-2 Video Encoder on Parallel and Distributed Systems
* 2001: Optimization of H.263 video encoding using a single processor computer: performance tradeoffs and benchmarking