T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis | Paper Citation Record

Observation 284afce3-60e8-400d-9e17-519b8d4b3172 · outbound

This paper cites Estimates of worldwide burden of cancer in 2008: Globocan 2008,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Estimates of worldwide burden of cancer in 2008: Globocan 2008,

Reference 1

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Observation 6e878c69-5f0e-4efb-aff5-55d460526d78 · outbound

This paper cites Focal liver lesions: comparison of dual-phase ct and multisequence multiplanar mr imaging including dynamic gadolinium enhancement,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Focal liver lesions: comparison of dual-phase ct and multisequence multiplanar mr imaging including dynamic gadolinium enhancement,

Reference 2

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Observation 74d58c5b-6e38-4053-848d-c2a8a4fab12e · outbound

This paper cites Nephrogenic systemic fibrosis: suspected causative role of gadodiamide used for contrast-enhanced magnetic resonance imaging,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Nephrogenic systemic fibrosis: suspected causative role of gadodiamide used for contrast-enhanced magnetic resonance imaging,

Reference 3

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Observation 37ac7b36-53ba-481c-afaa-235c4cbce136 · outbound

This paper cites Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:40.354335Z

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Observation 5a38eac2-0628-4f69-bef5-b78603f46ed1 · outbound

This paper cites Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver mr images using pixel-level graph reinforcement learning,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver mr images using pixel-level graph reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:40.081825Z

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Observation 57c73617-c7db-406e-9fab-2b08c011bb06 · outbound

This paper cites Tripartite-gan: Synthesizing liver contrast-enhanced mri to improve tumor detection,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Tripartite-gan: Synthesizing liver contrast-enhanced mri to improve tumor detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.955946Z

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Observation 1c26375c-0fb4-46fe-8d94-329165e7d353 · outbound

This paper cites Hepatobiliary versus extracellular mri contrast agents in hepatocellular carcinoma detection: hepatobiliary phase features in relation to disease-free survival,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Hepatobiliary versus extracellular mri contrast agents in hepatocellular carcinoma detection: hepatobiliary phase features in relation to disease-free survival,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.736388Z

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Observation 039a1b8d-42dc-45db-86f8-b5b24838c083 · outbound

This paper cites Quantitatively defining washout in hepatocellular carcinoma,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Quantitatively defining washout in hepatocellular carcinoma,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.562897Z

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Observation 1c8db06e-32d6-4576-ae92-8c0c5a5111a7 · outbound

This paper cites Fgc2f-udiff: Frequency-guided and coarse-to-fine unified diffusion model for multi-modality missing mri synthesis,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Fgc2f-udiff: Frequency-guided and coarse-to-fine unified diffusion model for multi-modality missing mri synthesis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.406981Z

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Observation 736f8c72-c9c2-45b0-9ccb-c46c1058e416 · outbound

This paper cites Contrast-enhanced liver magnetic resonance image synthesis using gradient regularized multi-modal multi-discrimination sparse attention fusion gan,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Contrast-enhanced liver magnetic resonance image synthesis using gradient regularized multi-modal multi-discrimination sparse attention fusion gan,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.257131Z

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Observation 3a68a55d-ebd3-4172-933a-815c769b1812 · outbound

This paper cites Contrast-enhanced mri synthesis from non-contrast mri using attention cyclegan,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Contrast-enhanced mri synthesis from non-contrast mri using attention cyclegan,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:39.096689Z

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Observation ae180673-6373-4136-9a70-199cc0960544 · outbound

This paper cites Non-contrast ct liver segmentation using cyclegan data augmentation from contrast enhanced ct,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Non-contrast ct liver segmentation using cyclegan data augmentation from contrast enhanced ct,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.954862Z

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Observation d9e38687-aeac-43be-a749-26cbf00d57a5 · outbound

This paper cites United multi-task learning for abdominal contrast-enhanced ct synthesis through joint deformable registration,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis United multi-task learning for abdominal contrast-enhanced ct synthesis through joint deformable registration,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.727158Z

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Observation 2e5e0331-9bf2-4fff-bb10-f25943d02230 · outbound

This paper cites Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.576623Z

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Observation 12925270-7cf2-457d-98fd-6cffa987b43e · outbound

This paper cites Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.478433Z

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Observation dd463d03-c052-4edd-b2e4-b4208d39f901 · outbound

This paper cites Evoprompting: Language models for code-level neural architecture search,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Evoprompting: Language models for code-level neural architecture search,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.282419Z

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Observation 576c6a93-ee35-4c7e-86f1-3aa05c025e77 · outbound

This paper cites Autoregressive Sequence Modeling for 3D Medical Image Representation.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Autoregressive Sequence Modeling for 3D Medical Image Representation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:48:35.812115Z

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Observation 1f922ee5-f64c-45a6-a67c-031d987e50f9 · outbound

This paper cites Morphology-preserving autoregressive 3d generative modelling of the brain,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Morphology-preserving autoregressive 3d generative modelling of the brain,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:38.148212Z

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Observation 1333ef97-80ed-4288-9e2d-8f7ce438df12 · outbound

This paper cites Cavm: Conditional autoregressive vision model for contrast-enhanced brain tumor mri synthesis,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Cavm: Conditional autoregressive vision model for contrast-enhanced brain tumor mri synthesis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:37.935508Z

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Observation 14389087-7c69-441d-bce5-4029a8275bfe · outbound

This paper cites Causal recurrent variational autoencoder for medical time series generation,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Causal recurrent variational autoencoder for medical time series generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:37.789086Z

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Observation 670826a0-0399-48fa-b552-fbe5d7d0510b · outbound

This paper cites Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:33.992914Z

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Observation b2db1c3d-41ba-4c62-abba-4b46db9117ba · outbound

This paper cites Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:48:35.639771Z

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Observation 4c401c5a-19bb-4306-846e-1f7f15736cc2 · outbound

This paper cites Deep learning with con- volutional neural network for differentiation of liver masses at dynamic contrast-enhanced ct: a preliminary study,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Deep learning with con- volutional neural network for differentiation of liver masses at dynamic contrast-enhanced ct: a preliminary study,

Reference 23

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Observation 46d65f4a-9286-44f6-8d84-79cd88d56074 · outbound

This paper cites Extending 2-d convolutional neural networks to 3-d for advancing deep learning cancer classification with application to mri liver tumor differentiation,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Extending 2-d convolutional neural networks to 3-d for advancing deep learning cancer classification with application to mri liver tumor differentiation,

Reference 24

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Observation 27763d8a-79e7-4520-beb7-4c2ef97d8d41 · outbound

This paper cites Synthetic data augmentation using gan for improved liver lesion clas- sification,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Synthetic data augmentation using gan for improved liver lesion clas- sification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:37.258416Z

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Observation 6885a4b2-8531-45b6-adc5-295b7f3bc2c8 · outbound

This paper cites Mix-domain contrastive learning for unpaired h&e-to-ihc stain translation,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Mix-domain contrastive learning for unpaired h&e-to-ihc stain translation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:37.085497Z

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Observation cd179377-206a-46c4-af48-d095055a551a · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:34.476674Z

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Observation 822457e3-fc87-406e-ad88-fdc0129bab78 · outbound

This paper cites Pixel recurrent neural networks,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Pixel recurrent neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:34.587519Z

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Observation 88bce179-b617-4237-a773-5a0109dae5b4 · outbound

This paper cites Diagnosis of hepatic tumors with texture analysis in nonenhanced computed tomography images,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Diagnosis of hepatic tumors with texture analysis in nonenhanced computed tomography images,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:36.871278Z

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Observation dc60e3f3-c873-4bac-9084-c794523684fb · outbound

This paper cites Common-unique decomposition driven diffusion model for contrast- enhanced liver mr images multi-phase interconversion,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Common-unique decomposition driven diffusion model for contrast- enhanced liver mr images multi-phase interconversion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:36.693742Z

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Observation 4348190a-5eaf-4c3e-887a-460c992257d8 · outbound

This paper cites Medical Vision Generalist: Unifying Medical Imaging Tasks in Context.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Medical Vision Generalist: Unifying Medical Imaging Tasks in Context

Reference 31

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Observation 31b2e16a-ed2a-4de3-8ea1-a3abdd9e4232 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis U-net: Convolutional networks for biomedical image segmentation,

Reference 32

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Observation 87d54760-b3a7-43c1-be6d-249b24dd5070 · outbound

This paper cites an unresolved cited work.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Unresolved cited work

Reference 33

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Observation cb9ef7bc-b8aa-45dc-9400-d61e55fae6cf · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:34.995682Z

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Observation b124adbb-16a6-4a7e-af46-60df1a7cdf4a · outbound

This paper cites Edge-aware multi-task network for integrating quantification segmentation and uncertainty prediction of liver tumor on multi-modality non-contrast mri,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Edge-aware multi-task network for integrating quantification segmentation and uncertainty prediction of liver tumor on multi-modality non-contrast mri,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:36.355522Z

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Observation 9e1f1329-0818-42c9-afe8-07d6a0e8fc9a · outbound

This paper cites Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic mri,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic mri,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:36.158977Z

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Observation 8bd22249-5caf-49c3-9483-16d0e803e077 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:35.168450Z

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Observation e27aa6a1-fe13-4e18-b3db-15818e0c4a4f · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:35.285377Z

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Observation a03aebf9-f375-4fb5-8658-6e4b54a0d704 · outbound

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

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Medvit: a robust vision transformer for generalized medical image classification,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:48:36.010127Z

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Observation 7cdfbc62-c940-4321-9069-bbe82824750e · outbound

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

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis Transmed: Transformers advance multi- modal medical image classification,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T20:48:35.462423Z

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