Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification | Paper Citation Record

Observation 2b0de5b1-5463-4620-b18e-f866d21bb778 · outbound

This paper cites An enhanced deep learning approach for brain cancer MRI images classification using residual networks,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification An enhanced deep learning approach for brain cancer MRI images classification using residual networks,

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This paper cites Content-based brain tumor retrieval for MR images using transfer learning,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Content-based brain tumor retrieval for MR images using transfer learning,

Reference 2

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This paper cites A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using,

Reference 3

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This paper cites Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data,

Reference 4

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This paper cites Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview,

Reference 5

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This paper cites Role of Deep Learning in Classification of Brain MRI Images for Prediction of Disorders: A Survey of Emerging Trends,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Role of Deep Learning in Classification of Brain MRI Images for Prediction of Disorders: A Survey of Emerging Trends,

Reference 6

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This paper cites Deep CNN for Brain Tumor Classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Deep CNN for Brain Tumor Classification,

Reference 7

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Observation 8bed75fc-2ad8-440c-abc7-21829801b265 · outbound

This paper cites Self-supervised learning for medical image classification: a systematic review and implementation guidelines,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Self-supervised learning for medical image classification: a systematic review and implementation guidelines,

Reference 8

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This paper cites An MRI-based deep learning approach for efficient classification of brain tumors,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification An MRI-based deep learning approach for efficient classification of brain tumors,

Reference 9

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This paper cites Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model,

Reference 10

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This paper cites Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Brain Tumor Classification Using Fine-Tuned GoogLeNet Features and Machine Learning Algorithms: IoMT Enabled CAD System,

Reference 11

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This paper cites Deep learning,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Deep learning,

Reference 12

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Observation ae83630a-7415-4acf-80e5-f4d5f2021465 · outbound

This paper cites Convolutional neural networks in medical image understanding: a survey.,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Convolutional neural networks in medical image understanding: a survey.,

Reference 13

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This paper cites Brain tumor classification using deep CNN features via transfer learning,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Brain tumor classification using deep CNN features via transfer learning,

Reference 14

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This paper cites Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images,

Reference 15

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This paper cites Classification of brain tumors from mri images using a convolutional neural network,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Classification of brain tumors from mri images using a convolutional neural network,

Reference 16

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This paper cites Enhanced brain tumor classification using an optimized multi-layered convolutional neural network architecture,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Enhanced brain tumor classification using an optimized multi-layered convolutional neural network architecture,

Reference 17

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Observation b611dd65-4df0-4022-bcf7-a8ed0d34731c · outbound

This paper cites Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network,

Reference 18

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Observation 9f88ba24-f8e4-4bc9-8fd6-aaa69a3267f6 · outbound

This paper cites Multi-class brain tumor classification using residual network and global average pooling,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Multi-class brain tumor classification using residual network and global average pooling,

Reference 19

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This paper cites BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification,

Reference 20

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This paper cites MedViT: a robust vision transformer for generalized medical image classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification MedViT: a robust vision transformer for generalized medical image classification,

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This paper cites A survey on vision transformer,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification A survey on vision transformer,

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Transmed: Transformers advance multi-modal medical image classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Transmed: Transformers advance multi-modal medical image classification,

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Observation 1b4b8bd1-023d-47a5-ae23-24802954f2ca · outbound

This paper cites Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images,

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Observation a3a1c1ee-9eb4-4abc-94e6-7c87283c8c20 · outbound

This paper cites Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system,

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This paper cites LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification,

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This paper cites DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis,

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This paper cites 3D Self-Supervised Methods for Medical Imaging,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification 3D Self-Supervised Methods for Medical Imaging,

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This paper cites Models Genesis,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Models Genesis,

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This paper cites Self-supervised driven consistency training for annotation efficient histopathology image analysis,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Self-supervised driven consistency training for annotation efficient histopathology image analysis,

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This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Transformer-based unsupervised contrastive learning for histopathological image classification,

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This paper cites SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiologi- cal Images,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiologi- cal Images,

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This paper cites Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning,

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This paper cites A General-Purpose Self-Supervised Model for Computational Pathology.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification A General-Purpose Self-Supervised Model for Computational Pathology

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This paper cites Virchow: A Million-Slide Digital Pathology Foundation Model.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Virchow: A Million-Slide Digital Pathology Foundation Model

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This paper cites ResViT: Residual Vision Transformers for Multimodal Medical Im- age Synthesis,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification ResViT: Residual Vision Transformers for Multimodal Medical Im- age Synthesis,

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This paper cites Image-to-image translation with conditional adversarial networks,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Image-to-image translation with conditional adversarial networks,

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This paper cites Image synthesis in multi-contrast MRI with conditional generative adversarial networks,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Image synthesis in multi-contrast MRI with conditional generative adversarial networks,

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This paper cites Attention is all you need,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Attention is all you need,

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This paper cites Haykin, Neural networks: a comprehensive foundation.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Haykin, Neural networks: a comprehensive foundation

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This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Attention U-Net: Learning Where to Look for the Pancreas

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This paper cites Deep residual learning for image recognition,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Deep residual learning for image recognition,

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Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification A ConvNet for the 2020s

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This paper cites Identity mappings in deep residual networks,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Identity mappings in deep residual networks,

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This paper cites Densely connected convolutional networks,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Densely connected convolutional networks,

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This paper cites Imagenet: A large-scale hierarchical image database,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Imagenet: A large-scale hierarchical image database,

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This paper cites Brain Tumor MRI Dataset,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Brain Tumor MRI Dataset,

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This paper cites brain tumor dataset.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification brain tumor dataset

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This paper cites The cancer imaging archive (TCIA): maintaining and operating a public information repository,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification The cancer imaging archive (TCIA): maintaining and operating a public information repository,

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Observation 633dec18-a85e-4a2b-bae2-837c2f623683 · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

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This paper cites The multimodal brain tumor image segmentation benchmark (BRATS),.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification The multimodal brain tumor image segmentation benchmark (BRATS),

Reference 53

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This paper cites Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features,

Reference 54

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This paper cites Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection

Reference 55

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This paper cites Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection

Reference 56

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This paper cites The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

Reference 57

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This paper cites Image quality assessment: from error visibility to structural similarity,.

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification Image quality assessment: from error visibility to structural similarity,

Reference 58

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