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ORCIDFarhan Akram
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2020 – today
- 2023
[i10]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 abs/2305.03546 (2023)- 2021
- [j13]Usman Asim
, Ehtesham Iqbal, Aditi Joshi, Farhan Akram, Kwang Nam Choi:
Active Contour Model for Image Segmentation With Dilated Convolution Filter. IEEE Access 9: 168703-168714 (2021) - [j12]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: 114811 (2021) - [j11]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: 115433 (2021) - 2020
- [j10]Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, 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) - [j9]Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romaní, Domenec Puig:
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162: 113870 (2020)
2010 – 2019
- 2019
- [j8]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: 39069-39082 (2019) - [j7]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [c15]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romaní, Domenec Puig:
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 2019: 365-372 - [c14]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: 141-148 - [i9]Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee:
Fence GAN: Towards Better Anomaly Detection. CoRR abs/1904.01209 (2019) - [i8]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 abs/1907.00856 (2019) - [i7]Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig:
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR abs/1907.00887 (2019) - [i6]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 abs/1907.02742 (2019) - 2018
- [c13]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: 325-334 - [c12]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Jordina Torrents-Barrena, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA 2018: 373-380 - [c11]Hyun Chul Song, Farhan Akram, Kwang Nam Choi:
Object Recognition Using Deep Neural Network with Distinctive Features. ICVIP 2018: 203-207 - [c10]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [c9]Vivek Kumar Singh, Santiago Romaní, 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: 833-840 - [i5]Vivek Kumar Singh, Santiago Romaní, 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 abs/1805.10207 (2018) - [i4]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i3]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR abs/1806.03905 (2018) - [i2]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 abs/1807.11433 (2018) - [i1]Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, 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 abs/1809.01687 (2018) - 2017
- [b1]Farhan Akram:
Active contours for intensity inhomogeneous image segmentation. University of Rovira i Virgili, Spain, 2017 - [j6]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: 8350680:1-8350680:16 (2017) - [j5]Jeong-Heon Kim, Farhan Akram, Kwang Nam Choi:
Image denoising feedback framework using split Bregman approach. Expert Syst. Appl. 87: 252-266 (2017) - [c8]Vivek Kumar Singh, Santiago Romaní, 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: 76-85 - [c7]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: 146-155 - [c6]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: 156-165 - 2016
- [j4]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: 9675249:1-9675249:15 (2016) - [c5]Adel Saleh, Mohamed Abdel-Nasser, Farhan Akram, Miguel Ángel García, Domenec Puig:
Analysis of Temporal Coherence in Videos for Action Recognition. ICIAR 2016: 325-332 - [c4]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: 182-187 - 2015
- [j3]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: 710326:1-710326:14 (2015) - [c3]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: 447-454 - 2014
- [j2]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: 194614:1-194614:14 (2014) - 2013
- [j1]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): 3724-3738 (2013) - [c2]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: 154-159 - [c1]Inteck Whoang, Farhan Akram, Jeong-Heon Kim, Kwang Nam Choi:
Object Tracking Using Maximum Color Distance and Shape Density. ICIG 2013: 369-373
Coauthor Index
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