Farhan Akram
Orcid: 0000-0003-4109-2645
According to our database1,
Farhan Akram
authored at least 37 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.
CoRR, 2023
2021
Expert Syst. Appl., 2021
Active contour model with adaptive weighted function for robust image segmentation under biased conditions.
Expert Syst. Appl., 2021
IEEE Access, 2021
2020
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network.
Expert Syst. Appl., 2020
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020
2019
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism.
IEEE Access, 2019
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Artificial Intelligence Research and Development, 2019
2018
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
CoRR, 2018
REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks.
CoRR, 2018
CoRR, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
CoRR, 2018
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2nd International Conference on Video and Image Processing, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images.
Proceedings of the Artificial Intelligence Research and Development, 2018
2017
Expert Syst. Appl., 2017
Comput. Math. Methods Medicine, 2017
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
2016
Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation.
Comput. Math. Methods Medicine, 2016
Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Comput. Math. Methods Medicine, 2015
Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images.
Proceedings of the VISAPP 2015, 2015
2014
Comput. Math. Methods Medicine, 2014
2013
Proceedings of the Seventh International Conference on Image and Graphics, 2013
Active Contour Method with Locally Computed Signed Pressure Force Function: An Application to Brain MR Image Segmentation.
Proceedings of the Seventh International Conference on Image and Graphics, 2013