{"doi":"10.1002/mp.15461","title":"Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks","abstract":"Typically, the current dose prediction models are limited to small amounts of data and require re-training for a specific site, often leading to suboptimal performance. We propose a site-agnostic, 3D dose distribution prediction model using deep learning that can leverage data from any treatment site, thus increasing the total data available to train the model. Applying our proposed model to a new target treatment site requires only a brief fine-tuning of the model to the new data and involves no modifications to the model input channels or its parameters. Thus, it can be efficiently adapted to a different treatment site, even with a small training dataset.","journal":"arXiv (Cornell University)","year":2021,"id":213340,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9533,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":805959,"name":"Itzel Ramirez Tapia","orcid":null,"position":1,"is_corresponding":false},{"id":678044,"name":"Anjali Balagopal","orcid":"0000-0001-6258-4468","position":2,"is_corresponding":false},{"id":805236,"name":"Xinran Zhong","orcid":"0000-0002-2530-5228","position":3,"is_corresponding":false},{"id":480932,"name":"Azar Sadeghnejad Barkousaraie","orcid":"0000-0002-4331-4988","position":4,"is_corresponding":false},{"id":280744,"name":"Rafe McBeth","orcid":"0000-0002-0924-6010","position":5,"is_corresponding":false},{"id":283110,"name":"Mu‐Han Lin","orcid":"0000-0002-7992-5465","position":6,"is_corresponding":false},{"id":280746,"name":"Steve Jiang","orcid":"0000-0002-3083-6752","position":7,"is_corresponding":false},{"id":280741,"name":"Dan Nguyen","orcid":"0000-0002-9590-0655","position":8,"is_corresponding":false},{"id":805958,"name":"Maryam Mashayekhi","orcid":null,"position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-18T23:52:36.886828Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}