A Deep RL based Framework for Targeted White Matter Tractography | Paper Citation Record

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This paper cites Imagenet classification with deep convolutional neural networks,.

A Deep RL based Framework for Targeted White Matter Tractography Imagenet classification with deep convolutional neural networks,

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This paper cites Faster r-cnn: Towards real-time ob- ject detection with region proposal networks,.

A Deep RL based Framework for Targeted White Matter Tractography Faster r-cnn: Towards real-time ob- ject detection with region proposal networks,

Reference 2

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

A Deep RL based Framework for Targeted White Matter Tractography U-net: Convolutional networks for biomedical image segmentation,

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This paper cites Photo-realistic single image super- resolution using a generative adversarial network,.

A Deep RL based Framework for Targeted White Matter Tractography Photo-realistic single image super- resolution using a generative adversarial network,

Reference 4

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This paper cites Siemens 3t mri scanners compared,.

A Deep RL based Framework for Targeted White Matter Tractography Siemens 3t mri scanners compared,

Reference 5

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A Deep RL based Framework for Targeted White Matter Tractography Unresolved cited work

Reference 6

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This paper cites Computed tomography: principles, design, artifacts, and recent ad- vances,.

A Deep RL based Framework for Targeted White Matter Tractography Computed tomography: principles, design, artifacts, and recent ad- vances,

Reference 7

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This paper cites Molecular imaging and its biological applications,.

A Deep RL based Framework for Targeted White Matter Tractography Molecular imaging and its biological applications,

Reference 8

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This paper cites Multimodality assessment of brain tumors and tumor recurrence,.

A Deep RL based Framework for Targeted White Matter Tractography Multimodality assessment of brain tumors and tumor recurrence,

Reference 9

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This paper cites A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,.

A Deep RL based Framework for Targeted White Matter Tractography A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,

Reference 10

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Observation 64674b7a-7f31-4c5d-b211-bd7a324daef3 · outbound

This paper cites The intelligent imaging revolution: artificial intelligence in mri and mrs acquisition and re- construction,.

A Deep RL based Framework for Targeted White Matter Tractography The intelligent imaging revolution: artificial intelligence in mri and mrs acquisition and re- construction,

Reference 11

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This paper cites Advances and challenges in fmri and dti techniques,.

A Deep RL based Framework for Targeted White Matter Tractography Advances and challenges in fmri and dti techniques,

Reference 12

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This paper cites Mr diffusion tensor spectroscopy and imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Mr diffusion tensor spectroscopy and imaging,

Reference 13

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This paper cites Robust determination of the fibre orientation distribution in diffusion mri: non-negativity constrained super- resolved spherical deconvolution,.

A Deep RL based Framework for Targeted White Matter Tractography Robust determination of the fibre orientation distribution in diffusion mri: non-negativity constrained super- resolved spherical deconvolution,

Reference 14

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This paper cites Q-ball imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Q-ball imaging,

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This paper cites Regularized, fast, and robust analytical q-ball imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Regularized, fast, and robust analytical q-ball imaging,

Reference 16

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This paper cites An integrated approach to correc- tion for off-resonance effects and subject movement in diffusion mr imaging,.

A Deep RL based Framework for Targeted White Matter Tractography An integrated approach to correc- tion for off-resonance effects and subject movement in diffusion mr imaging,

Reference 17

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This paper cites N4itk: improved n3 bias correction,.

A Deep RL based Framework for Targeted White Matter Tractography N4itk: improved n3 bias correction,

Reference 18

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This paper cites Mrtrix3: A fast, flexi- bleandopensoftwareframeworkformedicalimageprocessingandvisualisation,.

A Deep RL based Framework for Targeted White Matter Tractography Mrtrix3: A fast, flexi- bleandopensoftwareframeworkformedicalimageprocessingandvisualisation,

Reference 19

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This paper cites The design of sim- pleitk,.

A Deep RL based Framework for Targeted White Matter Tractography The design of sim- pleitk,

Reference 20

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This paper cites Advanced normalization tools,.

A Deep RL based Framework for Targeted White Matter Tractography Advanced normalization tools,

Reference 21

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This paper cites Freesurfer,.

A Deep RL based Framework for Targeted White Matter Tractography Freesurfer,

Reference 22

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This paper cites Automated quality control for within and between studies diffusion mri data using a non-parametric framework for movement and distortion correction,.

A Deep RL based Framework for Targeted White Matter Tractography Automated quality control for within and between studies diffusion mri data using a non-parametric framework for movement and distortion correction,

Reference 23

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This paper cites Dtiprep: quality control of diffusion-weighted images,.

A Deep RL based Framework for Targeted White Matter Tractography Dtiprep: quality control of diffusion-weighted images,

Reference 24

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This paper cites Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor mri,.

A Deep RL based Framework for Targeted White Matter Tractography Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor mri,

Reference 25

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This paper cites Toward a quantitative assessment of diffusion anisotropy,.

A Deep RL based Framework for Targeted White Matter Tractography Toward a quantitative assessment of diffusion anisotropy,

Reference 26

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This paper cites Inference of a human brain fiber bundle atlas from high angular resolution diffusion imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Inference of a human brain fiber bundle atlas from high angular resolution diffusion imaging,

Reference 27

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This paper cites Tractseg-fast and accurate white matter tract segmentation,.

A Deep RL based Framework for Targeted White Matter Tractography Tractseg-fast and accurate white matter tract segmentation,

Reference 28

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This paper cites The challenge of mapping the human connectome based on diffusion tractography,.

A Deep RL based Framework for Targeted White Matter Tractography The challenge of mapping the human connectome based on diffusion tractography,

Reference 29

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This paper cites Diffusion mri fiber tractography of the brain,.

A Deep RL based Framework for Targeted White Matter Tractography Diffusion mri fiber tractography of the brain,

Reference 30

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This paper cites Challenges in diffusion mri tractography–lessons learned from international benchmark competitions,.

A Deep RL based Framework for Targeted White Matter Tractography Challenges in diffusion mri tractography–lessons learned from international benchmark competitions,

Reference 31

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This paper cites Tractography and machine learning: Current state and open challenges,.

A Deep RL based Framework for Targeted White Matter Tractography Tractography and machine learning: Current state and open challenges,

Reference 32

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This paper cites Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging,

Reference 33

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This paper cites In vivo fiber tractography using dt-mri data,.

A Deep RL based Framework for Targeted White Matter Tractography In vivo fiber tractography using dt-mri data,

Reference 34

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This paper cites Characterization and Bibliography 81 propagation of uncertainty in diffusion-weighted mr imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Characterization and Bibliography 81 propagation of uncertainty in diffusion-weighted mr imaging,

Reference 35

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This paper cites Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distri- butions,.

A Deep RL based Framework for Targeted White Matter Tractography Improved probabilistic streamlines tractography by 2nd order integration over fibre orientation distri- butions,

Reference 36

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This paper cites A framework for a streamline-based probabilistic index of connectivity (pico) using a structural interpretation of mri diffusion measurements,.

A Deep RL based Framework for Targeted White Matter Tractography A framework for a streamline-based probabilistic index of connectivity (pico) using a structural interpretation of mri diffusion measurements,

Reference 37

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This paper cites Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging,.

A Deep RL based Framework for Targeted White Matter Tractography Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging,

Reference 38

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This paper cites Gibbs tracking: a novel ap- proach for the reconstruction of neuronal pathways,.

A Deep RL based Framework for Targeted White Matter Tractography Gibbs tracking: a novel ap- proach for the reconstruction of neuronal pathways,

Reference 39

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This paper cites Anatomically- constrained tractography: improved diffusion mri streamlines tractography through effective use of anatomical information,.

A Deep RL based Framework for Targeted White Matter Tractography Anatomically- constrained tractography: improved diffusion mri streamlines tractography through effective use of anatomical information,

Reference 40

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This paper cites Towards quanti- tative connectivity analysis: reducing tractography biases,.

A Deep RL based Framework for Targeted White Matter Tractography Towards quanti- tative connectivity analysis: reducing tractography biases,

Reference 41

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This paper cites Tractoinferno-a large-scale, open-source, multi-site database for machine learning dmri tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Tractoinferno-a large-scale, open-source, multi-site database for machine learning dmri tractography,

Reference 42

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This paper cites A machine learning based approach to fiber tractography using classifier voting,.

A Deep RL based Framework for Targeted White Matter Tractography A machine learning based approach to fiber tractography using classifier voting,

Reference 43

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This paper cites Learn to track: deep learning for tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Learn to track: deep learning for tractography,

Reference 44

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This paper cites Deeptract: A probabilistic deep learning frame- work for white matter fiber tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Deeptract: A probabilistic deep learning frame- work for white matter fiber tractography,

Reference 45

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This paper cites Data-driven fiber tractography with neural networks,.

A Deep RL based Framework for Targeted White Matter Tractography Data-driven fiber tractography with neural networks,

Reference 46

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This paper cites Entrack: Probabilistic spherical regres- sion with entropy regularization for fiber tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Entrack: Probabilistic spherical regres- sion with entropy regularization for fiber tractography,

Reference 47

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This paper cites Track-to-learn: A general framework for tractography with deep reinforcement learning,.

A Deep RL based Framework for Targeted White Matter Tractography Track-to-learn: A general framework for tractography with deep reinforcement learning,

Reference 48

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This paper cites What matters in reinforcement learning for tractography,.

A Deep RL based Framework for Targeted White Matter Tractography What matters in reinforcement learning for tractography,

Reference 49

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This paper cites Tractoracle: towards an anatomically-informed reward function for rl-based tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Tractoracle: towards an anatomically-informed reward function for rl-based tractography,

Reference 50

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Observation 6e2f78b7-8a0d-4550-b871-6eadb1135bba · outbound

This paper cites Motor and language dti fiber tracking combined with intraoperative subcortical mapping for surgical removal of gliomas,.

A Deep RL based Framework for Targeted White Matter Tractography Motor and language dti fiber tracking combined with intraoperative subcortical mapping for surgical removal of gliomas,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.932157Z

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Observation 2e172a54-df3c-4c01-aa1b-5e78ee23e1a7 · outbound

This paper cites Bundle-specific tractography with incorporated anatomical and orientational priors,.

A Deep RL based Framework for Targeted White Matter Tractography Bundle-specific tractography with incorporated anatomical and orientational priors,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.915462Z

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Observation 5c2a10c9-b7a7-4ab7-a5f6-d819521bae8d · outbound

This paper cites OpenAI Gym.

A Deep RL based Framework for Targeted White Matter Tractography OpenAI Gym

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:13.226670Z

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Observation 9cbef147-6456-406f-a94f-725ee5efb500 · outbound

This paper cites Policy gradient meth- ods for reinforcement learning with function approximation,.

A Deep RL based Framework for Targeted White Matter Tractography Policy gradient meth- ods for reinforcement learning with function approximation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.897820Z

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Observation 5a4c1a82-0123-4073-bd2f-2b5bf1cd0897 · outbound

This paper cites Continuous control with deep reinforcement learning.

A Deep RL based Framework for Targeted White Matter Tractography Continuous control with deep reinforcement learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:13.237329Z

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Observation b543b2c6-709a-457d-85ee-0b4b08671f9b · outbound

This paper cites Addressing function approximation error in actor-critic methods,.

A Deep RL based Framework for Targeted White Matter Tractography Addressing function approximation error in actor-critic methods,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.882017Z

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Observation 1358f5a6-d232-4052-b498-c82386dfd78e · outbound

This paper cites Soft actor-critic: Off-policy maximumentropydeepreinforcementlearningwithastochasticactor,.

A Deep RL based Framework for Targeted White Matter Tractography Soft actor-critic: Off-policy maximumentropydeepreinforcementlearningwithastochasticactor,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.865919Z

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Observation f9ce2bb0-6bb8-4191-8594-7d96c290323e · outbound

This paper cites Learning internal repre- sentations by error propagation,.

A Deep RL based Framework for Targeted White Matter Tractography Learning internal repre- sentations by error propagation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.848136Z

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Observation e705cf04-1b5f-4f70-a1ea-52191e892f8c · outbound

This paper cites Long short-term memory,.

A Deep RL based Framework for Targeted White Matter Tractography Long short-term memory,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.830395Z

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Observation 876044f8-cacb-4f59-8478-4609ef72cdf2 · outbound

This paper cites Attention is all you need,.

A Deep RL based Framework for Targeted White Matter Tractography Attention is all you need,

Reference 60

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This paper cites Improving lan- guage understanding by generative pre-training,.

A Deep RL based Framework for Targeted White Matter Tractography Improving lan- guage understanding by generative pre-training,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.801313Z

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

A Deep RL based Framework for Targeted White Matter Tractography Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.784271Z

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Observation aba6c5a9-bdbe-4afa-b2c4-d94e55f97258 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

A Deep RL based Framework for Targeted White Matter Tractography Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.767663Z

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Observation 48f1283c-424b-4f11-be35-6efca342fc91 · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

A Deep RL based Framework for Targeted White Matter Tractography Highly accurate protein structure prediction with alphafold,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.751965Z

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Observation 16942db7-ffed-4ff8-9acd-e8b93ceb3783 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Deep RL based Framework for Targeted White Matter Tractography Evaluating Large Language Models Trained on Code

Reference 65

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

A Deep RL based Framework for Targeted White Matter Tractography An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 66

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This paper cites The human connectome project: a data acquisition perspective,.

A Deep RL based Framework for Targeted White Matter Tractography The human connectome project: a data acquisition perspective,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.736988Z

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A Deep RL based Framework for Targeted White Matter Tractography Unresolved cited work

Reference 68

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Observation 7ee99e47-9326-4c71-9bf7-dce187d9fb81 · outbound

This paper cites Population average atlas for recobundlesx,.

A Deep RL based Framework for Targeted White Matter Tractography Population average atlas for recobundlesx,

Reference 69

Resolution: verified exact; doi, observed 2026-08-15T19:48:13.417211Z

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Observation d4f798d5-c1dd-4521-b33f-026ad311a555 · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling,.

A Deep RL based Framework for Targeted White Matter Tractography Decision transformer: Reinforcement learning via sequence modeling,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.699021Z

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Observation 33b767cc-01a6-4c0b-bf5a-f9730b814b0e · outbound

This paper cites Fast streamline search: An exact technique for diffusion mri tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Fast streamline search: An exact technique for diffusion mri tractography,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.682163Z

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Observation ca0fc410-15f3-4021-961d-9bc8aea5440b · outbound

This paper cites Advancements in diffusion mri tractography for neurosurgery,.

A Deep RL based Framework for Targeted White Matter Tractography Advancements in diffusion mri tractography for neurosurgery,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.664492Z

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Observation f6661e05-cdf0-4d2b-bbdd-1dd0c9b0d046 · outbound

This paper cites Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization.

A Deep RL based Framework for Targeted White Matter Tractography Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization

Reference 73

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Observation d87952ff-5987-4155-be46-0b4c197e68ec · outbound

This paper cites Tract-rlformer: A tract-specific rl policy based decoder-only trans- former network,.

A Deep RL based Framework for Targeted White Matter Tractography Tract-rlformer: A tract-specific rl policy based decoder-only trans- former network,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.644667Z

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Observation 2ebf98bf-347d-4379-b511-eeff0cde712e · outbound

This paper cites Quickbundles, a method for tractography simplification,.

A Deep RL based Framework for Targeted White Matter Tractography Quickbundles, a method for tractography simplification,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.628397Z

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Observation c4d4e62b-76fb-466d-990f-b24b57e4212b · outbound

This paper cites Farthest Streamline Sampling for the Uniform Distribution of Forearm Muscle Fiber Tracts from Diffusion Tensor Imaging.

A Deep RL based Framework for Targeted White Matter Tractography Farthest Streamline Sampling for the Uniform Distribution of Forearm Muscle Fiber Tracts from Diffusion Tensor Imaging

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:48:13.461101Z

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Observation 51f453c7-2d18-4a8a-a420-6bc7001b9327 · outbound

This paper cites Multi-critic actor learning: Teaching rl policies to act with style,.

A Deep RL based Framework for Targeted White Matter Tractography Multi-critic actor learning: Teaching rl policies to act with style,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.610643Z

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Observation 076fa263-5e6d-4a58-8ac3-4fcede4d8f2f · outbound

This paper cites Mrtrix: diffusion tractography in crossing fiber regions,.

A Deep RL based Framework for Targeted White Matter Tractography Mrtrix: diffusion tractography in crossing fiber regions,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.594496Z

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Observation 6667be8c-8f86-4391-805a-a8b627922500 · outbound

This paper cites Fiesta: Autoen- coders for accurate fiber segmentation in tractography,.

A Deep RL based Framework for Targeted White Matter Tractography Fiesta: Autoen- coders for accurate fiber segmentation in tractography,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:13.574839Z

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Observation 9cb75dd3-d7ff-4c21-addb-51b4dfa54f2e · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Deep RL based Framework for Targeted White Matter Tractography On the Opportunities and Risks of Foundation Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:13.369300Z

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