{"id":"W2045092603","doi":"10.1109/isbi.2012.6235604","title":"Diffusion tensor image processing using biquaternions","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Convolution (computer science); Diffusion MRI; Fourier transform; Image processing; Computer science; Artificial intelligence; Tensor (intrinsic definition); Quaternion; Computer vision; Algorithm; Pattern recognition (psychology); Mathematics; Image (mathematics); Mathematical analysis; Magnetic resonance imaging; Geometry; Artificial neural network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898311,0.001250975,0.0009234973,0.0009866703,0.0005054917,0.001766416,0.001263435,0.001133839,0.003173089],"category_scores_gemma":[0.002127521,0.0004603952,0.001064626,0.001714701,0.000908684,0.003476307,0.001308868,0.001713428,0.001908995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005968258,"about_ca_system_score_gemma":0.0008692378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281451,"about_ca_topic_score_gemma":0.002968543,"domain_scores_codex":[0.9993914,0.0001758792,0.00006777857,0.0001198527,0.0002071512,0.00003790318],"domain_scores_gemma":[0.9993716,0.0001437807,0.0001328661,0.0001348636,0.0001775603,0.00003941289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005655264,0.0000541986,0.0006259917,0.0003763706,0.0001684512,0.0003469499,0.0002935883,0.3262814,0.04310044,0.4569887,0.01078807,0.1609193],"study_design_scores_gemma":[0.00001045897,0.00005243174,0.0002968086,0.00003064191,0.00002476674,0.0001853677,0.00002461813,0.8705085,0.005915173,0.1018502,0.02104889,0.00005221942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001088742,0.000231398,0.9974065,0.0001973118,0.00006244729,0.00001663919,0.00008008792,0.000167451,0.0007493297],"genre_scores_gemma":[0.07129572,0.002354228,0.9199758,0.00025923,0.0002530991,0.0001623071,0.0004964707,0.0003043867,0.004898775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003173089,"threshold_uncertainty_score":0.01061499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284360322841935,"score_gpt":0.4108350481169518,"score_spread":0.2823990158327583,"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."}}