Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach. Gao, M., Fessler, J. A., & Chan, H. Phys. Med. Biol., 68(24):245024, December, 2023. doi bibtex @ARTICLE{gao:23:mbd,
author = {M. Gao and J. A. Fessler and H-P. Chan},
title = {Model-based deep {CNN-regularized} reconstruction for digital breast tomosynthesis with a task-based {CNN} image assessment approach},
journal = {{Phys. Med. Biol.}},
volume = 68,
number = 24,
pages = 245024,
month = dec,
pmc = 10719554,
pm = 37988758,
doi = {10.1088/1361-6560/ad0eb4},
year = 2023
}
Downloads: 0
{"_id":"tH4aJ9SuYKfcdJbt7","bibbaseid":"gao-fessler-chan-modelbaseddeepcnnregularizedreconstructionfordigitalbreasttomosynthesiswithataskbasedcnnimageassessmentapproach-2023","author_short":["Gao, M.","Fessler, J. A.","Chan, H."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["M."],"propositions":[],"lastnames":["Gao"],"suffixes":[]},{"firstnames":["J.","A."],"propositions":[],"lastnames":["Fessler"],"suffixes":[]},{"firstnames":["H-P."],"propositions":[],"lastnames":["Chan"],"suffixes":[]}],"title":"Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach","journal":"Phys. Med. Biol.","volume":"68","number":"24","pages":"245024","month":"December","pmc":"10719554","pm":"37988758","doi":"10.1088/1361-6560/ad0eb4","year":"2023","bibtex":"@ARTICLE{gao:23:mbd,\n author = {M. Gao and J. A. Fessler and H-P. Chan},\n title = {Model-based deep {CNN-regularized} reconstruction for digital breast tomosynthesis with a task-based {CNN} image assessment approach},\n journal = {{Phys. Med. Biol.}},\n volume = 68,\n number = 24,\n pages = 245024,\n month = dec,\n pmc = 10719554,\n pm = 37988758,\n doi = {10.1088/1361-6560/ad0eb4},\n year = 2023\n}\n\n","author_short":["Gao, M.","Fessler, J. A.","Chan, H."],"key":"gao:23:mbd","id":"gao:23:mbd","bibbaseid":"gao-fessler-chan-modelbaseddeepcnnregularizedreconstructionfordigitalbreasttomosynthesiswithataskbasedcnnimageassessmentapproach-2023","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"http://web.eecs.umich.edu/~fessler/papers/lists/t,jour.bib","dataSources":["kd6C5knneZoMrc2zM"],"keywords":[],"search_terms":["model","based","deep","cnn","regularized","reconstruction","digital","breast","tomosynthesis","task","based","cnn","image","assessment","approach","gao","fessler","chan"],"title":"Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach","year":2023}