Vivek Kumar Singh
Orcid: 0000-0002-8259-7087Affiliations:
- Rovira i Virgili University, Department of Computer Engineering and Mathematics, Tarragona, Spain
According to our database1,
Vivek Kumar Singh
authored at least 31 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images.
Neural Comput. Appl., April, 2024
Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images.
Neural Comput. Appl., April, 2024
2023
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach.
Comput., October, 2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.
CoRR, 2023
2022
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features.
Expert Syst. Appl., 2022
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation.
Comput. Biol. Medicine, 2022
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography.
Proceedings of the Artificial Intelligence Research and Development, 2022
2021
Expert Syst. Appl., 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
Segmentation and classification of multimodal medical images based on generative adversarial learning and convolutional neural networks.
PhD thesis, 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
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Proceedings of the Artificial Intelligence Research and Development, 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 Artificial Intelligence Research and Development, 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
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