Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study | Paper Citation Record

Observation adf60799-9b3e-4a7f-8868-ab423002ee0c · outbound

This paper cites https://www.aapm.org/GrandChallenge/ GDP-HMM/.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study https://www.aapm.org/GrandChallenge/ GDP-HMM/

Reference 1

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Observation dfe15a64-3d7c-49f0-98be-2a3e83457730 · outbound

This paper cites Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.658574Z

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Observation a05aef27-d8ac-4809-83ce-5c5a7ec247d5 · outbound

This paper cites McNiven, Adam Diamant, and Timothy C.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study McNiven, Adam Diamant, and Timothy C

Reference 3

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Observation b8251d0f-a5bf-41a4-9cdc-7a04844d9418 · outbound

This paper cites OpenKBP: The open-access knowledge-based planning grand challenge.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OpenKBP: The open-access knowledge-based planning grand challenge

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.486126Z

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Observation 83e3d329-ba64-4426-bb93-85a5237b91d1 · outbound

This paper cites OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.550694Z

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Observation 7c54d8ad-b221-4998-a8fd-e7134a7a81ad · outbound

This paper cites One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.540455Z

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Observation d960f039-91fe-4d8f-9aa0-35e315df5b01 · outbound

This paper cites MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.475162Z

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Observation c0f7bbd6-1c67-47be-b3a0-dbe3800a540d · outbound

This paper cites Three-dimensional dose predic- tion for lung imrt patients with deep neural networks: robust learning from heterogeneous beam configurations.Medical Physics.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Three-dimensional dose predic- tion for lung imrt patients with deep neural networks: robust learning from heterogeneous beam configurations.Medical Physics

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.890565Z

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Observation b1bcc266-6931-473a-8cb7-8186c5c957e1 · outbound

This paper cites Bentzen, Louis S.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Bentzen, Louis S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.876237Z

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Observation f5b97e12-a9ec-4ec1-951d-a6beb08aeb98 · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Training Diffusion Models with Reinforcement Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.524500Z

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Observation 8832b426-cdb9-48cd-9cf5-ccfa16572814 · outbound

This paper cites Diakogiannis, Franc ¸ois Waldner, Peter Caccetta, and Chen Wu.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Diakogiannis, Franc ¸ois Waldner, Peter Caccetta, and Chen Wu

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.976576Z

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Observation b388786d-f5a9-4e5d-a2e2-112868a6a4aa · outbound

This paper cites Ezzell, Jay W.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Ezzell, Jay W

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.908550Z

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Observation 597d53a4-69db-4135-b836-5b3f7df1716a · outbound

This paper cites DiffDP: Radiotherapy Dose Prediction via a Diffusion Model.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DiffDP: Radiotherapy Dose Prediction via a Diffusion Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.503017Z

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Observation 68f69c0f-b94b-4a48-953f-1b8f12f1fbde · outbound

This paper cites Flexible-cm gan: Towards precise 3d dose predic- tion in radiotherapy.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Flexible-cm gan: Towards precise 3d dose predic- tion in radiotherapy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.922105Z

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Observation cf089211-c994-4d83-bead-a6408a0cc511 · outbound

This paper cites Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.545023Z

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Observation aaf27b19-3ddd-4c1d-9c01-eac173fc803e · outbound

This paper cites Automating RT Planning at Scale: High Quality Data For AI Training.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Automating RT Planning at Scale: High Quality Data For AI Training

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T02:14:51.525725Z

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Observation 4fdef8d3-0f52-45b9-bbd7-231052b9be67 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.964372Z

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Observation ee5c384a-5270-467e-8f84-0c29b9b12d5b · outbound

This paper cites Deep learning–based dose prediction for automated, individualized quality assurance of head and neck radiation therapy plans.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Deep learning–based dose prediction for automated, individualized quality assurance of head and neck radiation therapy plans

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.969366Z

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Observation 42f96403-a48f-428d-a03b-25d9e91a2f63 · outbound

This paper cites Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.677620Z

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Observation 5e67b7ef-0968-4e89-94ef-7eb3a1b28112 · outbound

This paper cites Maisi: Medical ai for synthetic imaging.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Maisi: Medical ai for synthetic imaging

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.996800Z

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Observation abf04da8-0b41-4e4e-a9e4-0d5810009df7 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Denoising diffu- sion probabilistic models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.948584Z

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Observation 84081ddb-9484-4575-b6b4-f40dfb5094f8 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.952941Z

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Observation d20e07f3-87ef-4404-97e2-90bb7957245b · outbound

This paper cites Adapting visual-language mod- els for generalizable anomaly detection in medical images.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Adapting visual-language mod- els for generalizable anomaly detection in medical images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.984179Z

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Observation c8621d11-7b9a-404e-9db8-3b50ce17d63d · outbound

This paper cites Jaeger, Simon A.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Jaeger, Simon A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.915240Z

Source-reported events for the cited work

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Observation 8c3dceb8-dac4-48fe-a782-9d60fecb6e33 · outbound

This paper cites Domain knowledge driven 3d dose prediction using moment-based loss function.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Domain knowledge driven 3d dose prediction using moment-based loss function

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.854505Z

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Observation 041b321e-9b55-474c-9e83-8cc01da13ef4 · outbound

This paper cites Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.646512Z

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Observation 1e0315d1-b69f-4263-bf7d-8cf098f443d1 · outbound

This paper cites Dosenet: a volumetric dose prediction algorithm using 3d fully-convolutional neural net- works.Physics in Medicine & Biology, 63(23):235022.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Dosenet: a volumetric dose prediction algorithm using 3d fully-convolutional neural net- works.Physics in Medicine & Biology, 63(23):235022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.929651Z

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Observation 19ea0470-e59a-41f4-af5d-c2435c231850 · outbound

This paper cites Chan, Tianqi Wang, Alan Perry, Martina Descovich, Olivier Morin, Sue S.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Chan, Tianqi Wang, Alan Perry, Martina Descovich, Olivier Morin, Sue S

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.973088Z

Source-reported events for the cited work

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Observation 63823aff-caae-4173-98af-1ef977beb1a1 · outbound

This paper cites Auto-Encoding Variational Bayes.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Auto-Encoding Variational Bayes

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T05:51:25.513481Z

Source-reported events for the cited work

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Observation 10d5b7c7-9cf1-4fbe-b53e-343f8f6ccb7e · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.936907Z

Source-reported events for the cited work

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Observation f9feee4e-4f49-424d-a1f0-3fec736e9dfb · outbound

This paper cites A review of dose prediction methods for tumor radiation therapy.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study A review of dose prediction methods for tumor radiation therapy

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.847463Z

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Observation 2bcaa1ba-a0f9-462b-8831-b78185c9ddb6 · outbound

This paper cites OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.532529Z

Source-reported events for the cited work

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Observation f8928794-e42e-4be4-854d-34bbbfe0f614 · outbound

This paper cites H-DenseUNet: hybrid densely connected UNet for liver and tumor segmentation from CT volumes.IEEE Transactions on Medical Imaging.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study H-DenseUNet: hybrid densely connected UNet for liver and tumor segmentation from CT volumes.IEEE Transactions on Medical Imaging

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.988229Z

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Observation 9af31a76-fd53-4e39-acb9-1b767de74ed4 · outbound

This paper cites PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.672961Z

Source-reported events for the cited work

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Observation f1a92be8-2b05-42a7-acf6-1b532c47a988 · outbound

This paper cites PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.687428Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0e8e0f6-867f-4af2-a1fd-6accdb80398e · outbound

This paper cites Flow Matching for Generative Modeling.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Flow Matching for Generative Modeling

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.470816Z

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Observation 727dfe8d-6494-433b-bf7a-79a3ad3cd9d2 · outbound

This paper cites Technical note: A cascade 3d u-net for dose prediction in radiotherapy.Medical Physics, 48(11):7132–7141.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Technical note: A cascade 3d u-net for dose prediction in radiotherapy.Medical Physics, 48(11):7132–7141

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.898003Z

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Observation 267a993b-cb55-418f-ad80-0ec0980251b7 · outbound

This paper cites DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.864863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f62748a0-52b1-4e0c-a185-502d039ad23a · outbound

This paper cites an unresolved cited work.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:11:34.858394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0760d49-e6da-4555-9890-de3476c1ed1c · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:47:50.630300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4e78188-9772-42a8-9796-e3df3cad958b · outbound

This paper cites 3d radiotherapy dose predic- tion on head and neck cancer patients with a hierarchically densely connected u-net deep learning architecture.Physics in Medicine & Biology.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study 3d radiotherapy dose predic- tion on head and neck cancer patients with a hierarchically densely connected u-net deep learning architecture.Physics in Medicine & Biology

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.912186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd0cd158-4f08-46ce-93c9-dcd30db3ca97 · outbound

This paper cites an unresolved cited work.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:11:34.839397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da1d3cfd-8dbd-42d8-b499-71ca7cca4666 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DINOv2: Learning Robust Visual Features without Supervision

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.640955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 553e9237-ff5c-419e-940f-46fc968fee32 · outbound

This paper cites Training language models to follow instructions with human feedback.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Training language models to follow instructions with human feedback

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.494762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3df03700-ab9d-4b84-b1ad-7f193770ad22 · outbound

This paper cites Scalable diffusion mod- els with transformers.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Scalable diffusion mod- els with transformers

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.894368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c06b6ac-c37f-4a7c-aed9-8d07c0a1ade8 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study FiLM: Visual reasoning with a general conditioning layer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.980248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d0d1194-0a37-4c38-88f2-d95fcdc136ec · outbound

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

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Learning transferable visual models from natural language supervision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.901856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28375ae5-7687-460a-977d-eb001a95fc12 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.691666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d16e18e-195a-4cdf-b117-1ca331dabe79 · outbound

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

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study High-resolution image synthesis with latent diffusion models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.843452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7cc197d-7470-4db9-aaab-0fd398f38090 · outbound

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

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study U-Net: Convolutional networks for biomedical image segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.944740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22cbe44a-4855-42f7-9cda-2bed38216b78 · outbound

This paper cites Jaeger, and Klaus H.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Jaeger, and Klaus H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.918483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f34fc1d-f767-4e39-be1c-454a12b9962d · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Progressive distillation for fast sampling of diffusion models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.836003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9192e99-c364-45a1-8818-b30872886560 · outbound

This paper cites Aguado-Barrera, David Azria, Celine Bourgier, Muriel Brengues, Erik Briers, Renee Bultijnck, Patricia Calvo-Crespo, Ana Carballo, et al.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Aguado-Barrera, David Azria, Celine Bourgier, Muriel Brengues, Erik Briers, Renee Bultijnck, Patricia Calvo-Crespo, Ana Carballo, et al

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.850779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9d2ba74-9d6e-4645-b432-c259e9453d45 · outbound

This paper cites DINOv3.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DINOv3

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T05:51:25.622826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0758322-a579-4ed0-8be7-c6dfe079481b · outbound

This paper cites Dino-reg: Gen- eral purpose image encoder for training-free multi-modal deformable medical image registration.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Dino-reg: Gen- eral purpose image encoder for training-free multi-modal deformable medical image registration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:35.004912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca683b63-4653-45a5-85e2-26b984b15cf4 · outbound

This paper cites DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.566055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49f1add1-e93b-4d85-8da2-816510cec318 · outbound

This paper cites Any-to-Any Generation via Composable Diffusion.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Any-to-Any Generation via Composable Diffusion

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.595958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation abe96a45-975e-404c-a21f-c811a8952b09 · outbound

This paper cites Bilateral head&neck 70/63/56gy (hn-sib-bpi) [rapidplan].

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Bilateral head&neck 70/63/56gy (hn-sib-bpi) [rapidplan]

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:35.000995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04958ec2-6beb-4c78-9459-a6c7fadcdaab · outbound

This paper cites an unresolved cited work.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:11:34.883276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df9aca5e-231f-4906-a106-5f72a1889635 · outbound

This paper cites Lung – conventional 60gy (nrg lu- 004 / atkins km 2021).

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Lung – conventional 60gy (nrg lu- 004 / atkins km 2021)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.992472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fc267d3-8451-4af0-9c5a-abd6df1c59bf · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.926173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 028c2498-ff32-4dd4-9367-9cd8bade9538 · outbound

This paper cites Diffusion model align- ment using direct preference optimization.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Diffusion model align- ment using direct preference optimization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.868687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7478bfbd-5dbd-4eb2-a815-143f4ac367c7 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Wan: Open and Advanced Large-Scale Video Generative Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-12T05:51:25.557287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 280ae96c-ffe9-4953-8cf7-54d563fd5981 · outbound

This paper cites Deep learning-based head and neck radiotherapy planning dose prediction via beam-wise dose decomposition.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Deep learning-based head and neck radiotherapy planning dose prediction via beam-wise dose decomposition

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.933439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 256791aa-82b7-4b6b-8fac-db846e0af260 · outbound

This paper cites Fluence map prediction using deep learning models–direct plan generation for pancreas stereotactic body radiation therapy.Frontiers in artificial intelligence, 3:68.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Fluence map prediction using deep learning models–direct plan generation for pancreas stereotactic body radiation therapy.Frontiers in artificial intelligence, 3:68

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.940889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9200b79-5c57-4814-ab6f-1ddfe4473745 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.509104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd748a18-d31f-4590-b3fa-3361660f5bc5 · outbound

This paper cites Human Preference Score: Better Aligning Text-to-Image Models with Human Preference.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.617765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 095296d1-c4ca-4a85-98a7-b6df063049a2 · outbound

This paper cites OmniGen: Unified Image Generation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OmniGen: Unified Image Generation

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.574478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fef117d0-5115-4714-b0a9-4b88ea0c0d0b · outbound

This paper cites Learning and evaluating human preferences for text-to-image generation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Learning and evaluating human preferences for text-to-image generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.956918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1aea8bce-79e6-4ebd-b762-5910c4a16cd1 · outbound

This paper cites Versatile Diffusion: Text, Images and Variations All in One Diffusion Model.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Versatile Diffusion: Text, Images and Variations All in One Diffusion Model

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.579757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31191285-971e-4c0e-862f-aad9e6c2fdd3 · outbound

This paper cites Jodi: Unification of Visual Generation and Understanding via Joint Modeling.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Jodi: Unification of Visual Generation and Understanding via Joint Modeling

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.664198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c78cf411-534c-4ff7-b57f-74c4e10949a6 · outbound

This paper cites Using human feedback to fine-tune diffusion models without any reward model.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Using human feedback to fine-tune diffusion models without any reward model

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.861605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a89d4ae-52cd-4815-82d4-e2f1b79fbf3c · outbound

This paper cites Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions.Physics in Medicine & Biology, 65 (20):205013.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Predicting voxel-level dose distributions for esophageal radiotherapy using densely connected network with dilated convolutions.Physics in Medicine & Biology, 65 (20):205013

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.872654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6416f816-45af-4180-93de-d89fd1526d97 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Adding Conditional Control to Text-to-Image Diffusion Models

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:11.169114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 184b8e5d-090d-4830-b292-45ac969e766c · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-13T10:42:22.536059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96fed38d-2d1c-40ec-b10f-f28af832829b · outbound

This paper cites Learning multi- dimensional human preference for text-to-image generation.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Learning multi- dimensional human preference for text-to-image generation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:11:34.960796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23b0d548-2704-442e-a149-9543aea9346d · outbound

This paper cites DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.652401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f2ebf71-f781-4b3f-8efa-9f6c174d5fd3 · outbound

This paper cites Maisi-v2: Accelerated 3d high-resolution medical image synthesis with rectified flow and region-specific contrastive loss.arXiv preprint arXiv:2508.05772.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Maisi-v2: Accelerated 3d high-resolution medical image synthesis with rectified flow and region-specific contrastive loss.arXiv preprint arXiv:2508.05772

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.585907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc27a0f5-e39b-41c5-af82-f2a59168378e · outbound

This paper cites Diffusionnft: Online diffusion rein- forcement with forward process.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Diffusionnft: Online diffusion rein- forcement with forward process

Reference 79

Resolution: malformed identifier; raw_fallback, observed 2026-05-12T13:11:34.887065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers