Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity. - Farhan Akram; Miguel Ángel García; Vivek Kumar Singh 008; Nasibeh Saffari; Md. Mostafa Kamal Sarker; Domenec Puig (CCIA, 2017)

FoodPlaces: Learning Deep Features for Food Related Scene Understanding. - Md. Mostafa Kamal Sarker; Maria Leyva; Adel Saleh; Vivek Kumar Singh 008; Farhan Akram; Petia Radeva; Domenec Puig (CCIA, 2017)

Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. - Vivek Kumar Singh 008; Santiago Romaní; Jordina Torrents-Barrena; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig (CCIA, 2017)

Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images. - Farhan Akram; Vivek Kumar Singh 008; Md. Mostafa Kamal Sarker; Miguel Ángel García; Domenec Puig (CCIA, 2018)

CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. - Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Vivek Kumar Singh 008; Antonio Moreno; Petia Radeva; Domenec Puig (CCIA, 2018)

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Jordina Torrents-Barrena; Santiago Romaní; Domenec Puig (CCIA, 2018)

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Syeda Furruka Banu; Adel Saleh; Vivek Kumar Singh 008; Forhad U. H. Chowdhury; Saddam Abdulwahab; Santiago Romaní; Petia Radeva; Domenec Puig (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; 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 (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Jordina Torrents-Barrena; Adel Saleh; Meritxell Arenas; Domenec Puig (CoRR, 2018)

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Santiago Romaní; Domenec Puig (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. - Vivek Kumar Singh 008; Hatem A. Rashwan; Adel Saleh; Farhan Akram; Md. Mostafa Kamal Sarker; Nidhi Pandey; Saddam Abdulwahab (CoRR, 2018)

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (CoRR, 2018)

Food Places Classification in Egocentric Images Using Siamese Neural Networks. - Md. Mostafa Kamal Sarker; Syeda Furruka Banu; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Sylvie Chambon; Petia Radeva; Domenec Puig (CCIA, 2019)

Mass Detection in Mammograms Using a Robust Deep Learning Model. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Rami Haffar; Nidhi Pandey; Md. Mostafa Kamal Sarker; Sebastian Kohan; Josep Guma; Santiago Romaní; Domenec Puig (CCIA, 2019)

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. - Adel Saleh; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Saddam Abdulwahab; Md. Mostafa Kamal Sarker; Miguel Ángel García; Domenec Puig (VISIGRAPP (5: VISAPP), 2019)

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Alain Lalande; Benoit Presles; Santiago Romaní; Domenec Puig (IEEE Access, 2019)

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Syeda Furruka Banu; Farhan Akram; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig (CoRR, 2019)

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. - Vivek Kumar Singh 008; Hatem A. Rashwan; Mohamed Abdel-Nasser; Md. Mostafa Kamal Sarker; Farhan Akram; Nidhi Pandey; Santiago Romaní; Domenec Puig (CoRR, 2019)

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. - Farhan Akram; Vivek Kumar Singh 008; Hatem A. Rashwan; Mohamed Abdel-Nasser; Md. Mostafa Kamal Sarker; Nidhi Pandey; Domenec Puig (CoRR, 2019)

Segmentation and classification of multimodal medical images based on generative adversarial learning and convolutional neural networks. - Vivek Kumar Singh 008 (2019)

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Farhan Akram; Hatem A. Rashwan; Md. Mostafa Kamal Sarker; Nidhi Pandey; Santiago Romaní; Domenec Puig (Expert Syst. Appl., 2020)

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (Expert Syst. Appl., 2020)

Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Alex Benjamin; Mercy Asiedu; Elham Yousef Kalafi; Eugene Cheah; Viksit Kumar; Anthony E. Samir (CoRR, 2021)

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Vivek Kumar Singh 008; Syeda Furruka Banu; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig; Mohamed Abdel-Nasser (Expert Syst. Appl., 2021)

Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. - Mohamed A. Hassanien; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (CCIA, 2022)

Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Eugene Cheah; Xiaohong Wang; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; Anthony E. Samir (Comput. Biol. Medicine, 2022)

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. - Vivek Kumar Singh 008; Elham Yousef Kalafi; Shuhang Wang; Alex Benjamin; Mercy Nyamewaa Asiedu; Viksit Kumar; Anthony E. Samir (Expert Syst. Appl., 2022)

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. - Chuang Zhu; Shengjie Liu; Feng Xu; Zekuan Yu; Arpit Aggarwal; Germán Corredor; Anant Madabhushi; Qixun Qu; Hongwei Fan; Fangda Li; Yueheng Li; Xianchao Guan; et al. (CoRR, 2023)

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. - Loay Hassan; Adel Saleh; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (Comput., 2023)

Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. - Eung-Joo Lee; Vivek Kumar Singh 008; Elham Yousef Kalafi; Peng Guo; Arinc Ozturk; Theodore T. Pierce; Brian A. Telfer; Anthony E. Samir; Laura J. Brattain (CLIP@MICCAI, 2024)

Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. - Vivek Kumar Singh 008; Ehab Mahmoud Mohamed; Mohamed Abdel-Nasser (Neural Comput. Appl., 2024)

Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. - Vivek Kumar Singh 008; Ehab Mahmoud Mohamed; Mohamed Abdel-Nasser (Neural Comput. Appl., 2024)