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ORCIDVivek Kumar Singh 0008
Person information
- affiliation: Rovira i Virgili University, Department of Computer Engineering and Mathematics, Tarragona, Spain
Other persons with the same name
- Vivek Kumar Singh — disambiguation page
- Vivek Kumar Singh 0001
![[0000-0002-7348-6545]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7348-6545")
— Banaras Hindu University, India (and 2 more) - Vivek Kumar Singh 0002 — Jharkhand Space Application Centre, Ranchi, India
- Vivek Kumar Singh 0003 — National University of Singapore, Singapore
- Vivek K. Singh 0002 (aka: Vivek Kumar Singh 0004) — Siemens Healthcare, Medical Imaging Technologies, Princeton, NJ, USA (and 1 more)
- Vivek Kumar Singh 0005 — Indian Institute of Technology Kanpur
- Vivek Kumar Singh 0006 — Pondicherry University, India
- Vivek K. Singh 0001 (aka: Vivek Kumar Singh 0007) — Rutgers University, Department of Library and Information Science, New Brunswick, NJ, USA (and 3 more)
- Vivek Kumar Singh 0009 — Indian Institute of Information Technology Allahabad, Department of Information Technology, India
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2020 – today
- 2024
[j9]Vivek Kumar Singh, Ehab Mahmoud Mohamed, Mohamed Abdel-Nasser:
Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. Neural Comput. Appl. 36(11): 5889-5905 (2024)- [j8]Vivek Kumar Singh, Ehab Mahmoud Mohamed, Mohamed Abdel-Nasser:
Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. Neural Comput. Appl. 36(11): 5907 (2024) - 2023
- [j7]Loay Hassan, Adel Saleh, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Comput. 12(11): 220 (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) - 2022
- [j6]Shuhang Wang, Vivek Kumar Singh, Eugene Cheah, Xiaohong Wang, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir:
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. Comput. Biol. Medicine 148: 105891 (2022) - [j5]Vivek Kumar Singh, Elham Yousef Kalafi, Shuhang Wang, Alex Benjamin, Mercy Asideu, Viksit Kumar, Anthony E. Samir:
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. Expert Syst. Appl. 209: 118166 (2022) - [c12]Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. CCIA 2022: 298-307 - 2021
- [j4]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) - [i9]Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony E. Samir:
Network-Agnostic Knowledge Transfer for Medical Image Segmentation. CoRR abs/2101.09560 (2021) - 2020
- [j3]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) - [j2]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
- [b1]Vivek Kumar Singh:
Segmentation and classification of multimodal medical images based on generative adversarial learning and convolutional neural networks. University of Rovira i Virgili, Spain, 2019 - [j1]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) - [c11]Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig:
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c10]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 - [c9]Adel Saleh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Saddam Abdulwahab, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig:
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) 2019: 77-84 - [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
- [c8]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 - [c7]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Vivek Kumar Singh, Antonio Moreno, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA 2018: 365-372 - [c6]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 - [c5]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 - [c4]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
- [c3]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 - [c2]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 - [c1]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
Coauthor Index
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last updated on 2024-04-20 23:39 CEST by the dblp team
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