{"id":"W2594236958","doi":"10.1088/1361-6560/aa5ed2","title":"Simultaneous deblurring and iterative reconstruction of CBCT for image guided brain radiosurgery","year":2017,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Toronto Metropolitan University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Deblurring; Iterative reconstruction; Optical transfer function; Radiosurgery; Image quality; Algorithm; Computer vision; Image resolution; Computer science; Point spread function; Iterative method; Image restoration; Artificial intelligence; Mathematics; Image processing; Optics; Physics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658885,0.0000730871,0.0003089812,0.00004101115,0.00007318707,0.000004265627,0.00004439347,0.00005095509,0.000005426058],"category_scores_gemma":[0.001163146,0.00005188607,0.00002025549,0.00002932588,0.0006492597,0.00003528509,0.00003065806,0.0000952799,1.138709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007700489,"about_ca_system_score_gemma":0.00001612817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006921865,"about_ca_topic_score_gemma":0.00000294122,"domain_scores_codex":[0.9994791,0.00001726206,0.0002061553,0.000165783,0.00002956373,0.0001021308],"domain_scores_gemma":[0.9990945,0.0004858746,0.0001244519,0.0001751879,0.00006889751,0.00005109391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000116427,0.00008814837,0.03667666,0.0003721169,0.00005691798,0.0000125565,0.0004777492,6.041563e-7,0.4404186,0.01938337,0.004959472,0.4974374],"study_design_scores_gemma":[0.02546225,0.005349287,0.02233372,0.006930173,0.0007441302,0.002020859,0.0016856,0.1899649,0.1438738,0.5394743,0.06079269,0.00136835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399579,0.0002540839,0.03383197,0.02419088,0.0001040519,0.0005263464,0.00001298771,0.0000265605,0.001095259],"genre_scores_gemma":[0.9824287,0.0003263879,0.0162925,0.0005913195,0.0002683717,0.00003042978,0.00001848887,0.000005905682,0.00003793135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5200909,"threshold_uncertainty_score":0.2392224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.169062157224393,"score_gpt":0.4443839867965633,"score_spread":0.2753218295721703,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}