LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models | Paper Citation Record

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This paper cites CT image denoising and deblurring with deep learning: current status and perspectives,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models CT image denoising and deblurring with deep learning: current status and perspectives,

Reference 1

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Observation 4fd8c6d2-d6cd-4cb8-932e-04f7a4b52a80 · outbound

This paper cites Deep learning-based algorithms for low-dose CT imaging: A review,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Deep learning-based algorithms for low-dose CT imaging: A review,

Reference 2

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This paper cites Low-dose CT lung cancer screening practices and attitudes among primary care providers at an academic medical center,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT lung cancer screening practices and attitudes among primary care providers at an academic medical center,

Reference 3

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This paper cites PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative mod- els,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative mod- els,

Reference 4

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This paper cites 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models 3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network,

Reference 5

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Observation cd19e2d0-7d64-4f39-b017-7eeda2b418f9 · outbound

This paper cites Self-adaptive weight embedded lightweight network using semi- supervised learning for low-dose CT image denoising,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Self-adaptive weight embedded lightweight network using semi- supervised learning for low-dose CT image denoising,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:20.738211Z

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Observation 2d88950f-8b21-4cb5-9a3d-2b1d6af2ab90 · outbound

This paper cites PrideDiff: Physics-regularized generalized diffusion model for CT reconstruction,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models PrideDiff: Physics-regularized generalized diffusion model for CT reconstruction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:20.640587Z

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Observation 406f360c-fa99-41d1-91bb-d7933090514c · outbound

This paper cites LIT-Former: Linking in-plane and through-plane transformers for simultaneous CT image denoising and deblurring,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models LIT-Former: Linking in-plane and through-plane transformers for simultaneous CT image denoising and deblurring,

Reference 8

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This paper cites CoSeR: Bridging image and language for cognitive super-resolution,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models CoSeR: Bridging image and language for cognitive super-resolution,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:20.407495Z

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This paper cites Learning transferable visual models from natural language supervision,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Learning transferable visual models from natural language supervision,

Reference 10

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This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 11

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This paper cites IQAGPT: Computed tomography image quality assessment with vision- language and ChatGPT models,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models IQAGPT: Computed tomography image quality assessment with vision- language and ChatGPT models,

Reference 12

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This paper cites SPAE: Semantic pyramid autoencoder for multimodal generation with frozen LLMs,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models SPAE: Semantic pyramid autoencoder for multimodal generation with frozen LLMs,

Reference 13

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This paper cites LLM-Seg: Bridging image segmentation and large language model reasoning,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models LLM-Seg: Bridging image segmentation and large language model reasoning,

Reference 14

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This paper cites Taming transformers for high- resolution image synthesis,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Taming transformers for high- resolution image synthesis,

Reference 15

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Observation ddb13675-49fe-4d75-9e4b-90649c4da5ec · outbound

This paper cites Language quantized autoencoders: Towards unsupervised text-image alignment,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Language quantized autoencoders: Towards unsupervised text-image alignment,

Reference 16

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Observation afd715e0-4515-4054-8208-3d384f366d51 · outbound

This paper cites Low-dose CT denoising with language-engaged dual-space alignment,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT denoising with language-engaged dual-space alignment,

Reference 17

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Observation b1ecbe65-7b86-4672-91c7-6f662495489d · outbound

This paper cites Neural discrete representation learning,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Neural discrete representation learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:19.000471Z

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Observation fcbcf335-39bb-46fa-a457-868bcb08ab3f · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models High- resolution image synthesis with latent diffusion models,

Reference 19

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This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 20

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This paper cites Efficiently modeling long sequences with structured state spaces,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Efficiently modeling long sequences with structured state spaces,

Reference 21

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Observation 3ee538de-da27-4552-bd8a-11bd04b2ccea · outbound

This paper cites Simplified state space layers for sequence modeling,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Simplified state space layers for sequence modeling,

Reference 22

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Observation a6cf511c-ec31-4b31-8d9a-20687f187f32 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Mamba: Linear-time sequence modeling with selective state spaces,

Reference 23

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This paper cites VMamba: Visual state space model,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models VMamba: Visual state space model,

Reference 24

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This paper cites MambaIR: A simple baseline for image restoration with state-space model,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models MambaIR: A simple baseline for image restoration with state-space model,

Reference 25

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This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 26

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This paper cites Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 27

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Observation b01b19fa-05aa-49b9-86c0-1ad0dfc23713 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Perceptual losses for real-time style transfer and super-resolution,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:17.742111Z

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This paper cites CBAM: Convolutional block attention module,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models CBAM: Convolutional block attention module,

Reference 29

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Observation d51c01a4-7d5b-488f-b91f-8ac9071ab093 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 30

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This paper cites Low-dose CT with a residual encoder-decoder convolutional neural network,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT with a residual encoder-decoder convolutional neural network,

Reference 31

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This paper cites EDCNN: Edge enhancement- based densely connected network with compound loss for low-dose CT denoising,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models EDCNN: Edge enhancement- based densely connected network with compound loss for low-dose CT denoising,

Reference 32

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Observation 16279b08-2b51-4d65-bca6-9bdeeb586249 · outbound

This paper cites Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss,

Reference 33

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This paper cites DU-GAN: Generative adversarial networks with dual-domain U-Net-based discriminators for low-dose CT denoising,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models DU-GAN: Generative adversarial networks with dual-domain U-Net-based discriminators for low-dose CT denoising,

Reference 34

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This paper cites Hformer: highly efficient vision transformer for low-dose CT denoising,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Hformer: highly efficient vision transformer for low-dose CT denoising,

Reference 35

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This paper cites ASCON: Anatomy-aware supervised contrastive learning framework for low-dose CT denoising,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models ASCON: Anatomy-aware supervised contrastive learning framework for low-dose CT denoising,

Reference 36

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This paper cites CoreDiff: Contextual error-modulated generalized diffusion model for low-dose CT denoising and generalization,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models CoreDiff: Contextual error-modulated generalized diffusion model for low-dose CT denoising and generalization,

Reference 37

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This paper cites Low-dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 low dose CT grand challenge,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 low dose CT grand challenge,

Reference 38

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This paper cites Low-dose CT image and projection dataset,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Low-dose CT image and projection dataset,

Reference 39

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Observation 85bfe5c3-e50b-4a59-9331-47d3bee55d50 · outbound

This paper cites Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction,

Reference 40

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This paper cites Decoupled weight decay regularization,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Decoupled weight decay regularization,

Reference 41

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This paper cites SGDR: Stochastic gradient descent with warm restarts,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models SGDR: Stochastic gradient descent with warm restarts,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:15:15.578909Z

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This paper cites Deep residual learning for image recognition,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Deep residual learning for image recognition,

Reference 43

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This paper cites A perspective on deep imaging,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models A perspective on deep imaging,

Reference 44

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Observation a8e7fa9c-fbb1-430b-afd0-a70b160d6114 · outbound

This paper cites Comparison of objective image quality metrics to expert radiologists’ scoring of diagnostic quality of MR images,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Comparison of objective image quality metrics to expert radiologists’ scoring of diagnostic quality of MR images,

Reference 45

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Observation 6e279d1b-4b37-4333-a2b7-692cf2dd3ae6 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction,.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Visual autoregressive modeling: Scalable image generation via next-scale prediction,

Reference 46

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