Farhan Akram

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 32

Top Topics

Lesion Segmentation

Active Contours

Top Venues

Expert Syst. Appl.

Comput. Math. Methods Medicine

Publications

Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR (2023)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183 (2021)
Usman Asim, Ehtesham Iqbal, Aditi Joshi, Farhan Akram, Kwang Nam Choi
Active Contour Model for Image Segmentation With Dilated Convolution Filter. IEEE Access 9 (2021)
Aditi Joshi, Mohammed Saquib Khan, Asim Niaz, Farhan Akram, Hyun Chul Song, Kwang Nam Choi
Active contour model with adaptive weighted function for robust image segmentation under biased conditions. Expert Syst. Appl. 175 (2021)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romani, Domenec Puig
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162 (2020)
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. 139 (2020)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romani, Domenec Puig
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7 (2019)
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romani, Domenec Puig
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romani, Domenec Puig
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA (2019)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7 (2019)
Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
Fence GAN: Towards Better Anomaly Detection. CoRR (2019)
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR (2019)
Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee
Fence GAN: Towards Better Anomaly Detection. ICTAI (2019)
Farhan Akram, Vivek Kumar Singh, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig
Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images. CCIA (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romani, Domenec Puig
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) (2018)
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR (2018)
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) (2018)
Hyun Chul Song, Farhan Akram, Kwang Nam Choi
Object Recognition Using Deep Neural Network with Distinctive Features. ICVIP (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Jordina Torrents-Barrena, Santiago Romani, Domenec Puig
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh, Farhan Akram, Md. Mostafa Kamal Sarker, Nidhi Pandey, Saddam Abdulwahab
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)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR (2018)
Md. Mostafa Kamal Sarker, Maria Leyva, Adel Saleh, Vivek Kumar Singh, Farhan Akram, Petia Radeva, Domenec Puig
FoodPlaces: Learning Deep Features for Food Related Scene Understanding. CCIA (2017)
Farhan Akram, Miguel Ángel García, Vivek Kumar Singh, Nasibeh Saffari, Md. Mostafa Kamal Sarker, Domenec Puig
Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity. CCIA (2017)
Jeong-Heon Kim, Farhan Akram, Kwang Nam Choi
Image denoising feedback framework using split Bregman approach. Expert Syst. Appl. 87 (2017)
Shafiullah Soomro, Farhan Akram, Asad Munir, Chang Ha Lee, Kwang Nam Choi
Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours. Comput. Math. Methods Medicine 2017 (2017)
Vivek Kumar Singh, Santiago Romani, Jordina Torrents-Barrena, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. CCIA (2017)
Adel Saleh, Miguel Ángel García, Farhan Akram, Mohamed Abdel-Nasser, Domenec Puig
Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. VISIGRAPP (3: VISAPP) (2016)
Adel Saleh, Mohamed Abdel-Nasser, Farhan Akram, Miguel Ángel García, Domenec Puig
Analysis of Temporal Coherence in Videos for Action Recognition. ICIAR (2016)
Shafiullah Soomro, Farhan Akram, Jeong-Heon Kim, Toufique Ahmed Soomro, Kwang Nam Choi
Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation. Comput. Math. Methods Medicine 2016 (2016)
Farhan Akram, Jeong-Heon Kim, Chan-Gun Lee, Kwang Nam Choi
Segmentation of Regions of Interest Using Active Contours with SPF Function. Comput. Math. Methods Medicine 2015 (2015)
Farhan Akram, Domenec Puig, Miguel Ángel García, Adel Saleh
Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images. VISAPP (1) (2015)
Farhan Akram, Jeong-Heon Kim, Han Ul Lim, Kwang Nam Choi
Segmentation of Intensity Inhomogeneous Brain MR Images Using Active Contours. Comput. Math. Methods Medicine 2014 (2014)
Inteck Whoang, Farhan Akram, Jeong-Heon Kim, Kwang Nam Choi
Object Tracking Using Maximum Color Distance and Shape Density. ICIG (2013)
Jeong-Heon Kim, Bo-Young Park, Farhan Akram, Byung-Woo Hong, Kwang Nam Choi
Multipass Active Contours for an Adaptive Contour Map. Sensors 13 (3) (2013)
Farhan Akram, Jeong-Heon Kim, Kwang Nam Choi
Active Contour Method with Locally Computed Signed Pressure Force Function: An Application to Brain MR Image Segmentation. ICIG (2013)