Works matching AU Erickson, Bradley J.

Results: 73
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    Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation.

    Published in:
    Journal of Imaging, 2022, v. 8, n. 5, p. 149, doi. 10.3390/jimaging8050149
    By:
    • Chen, David;
    • Bhopalwala, Huzefa;
    • Dewaswala, Nakeya;
    • Arunachalam, Shivaram P.;
    • Enayati, Moein;
    • Farahani, Nasibeh Zanjirani;
    • Pasupathy, Kalyan;
    • Lokineni, Sravani;
    • Bos, J. Martijn;
    • Noseworthy, Peter A.;
    • Arsanjani, Reza;
    • Erickson, Bradley J.;
    • Geske, Jeffrey B.;
    • Ackerman, Michael J.;
    • Araoz, Philip A.;
    • Arruda-Olson, Adelaide M.
    Publication type:
    Article
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    Quantitative MRI of kidneys in renal disease.

    Published in:
    Abdominal Radiology, 2018, v. 43, n. 3, p. 629, doi. 10.1007/s00261-017-1236-y
    By:
    • Kline, Timothy L.;
    • Edwards, Marie E.;
    • Garg, Ishan;
    • Irazabal, Maria V.;
    • Korfiatis, Panagiotis;
    • Harris, Peter C.;
    • King, Bernard F.;
    • Torres, Vicente E.;
    • Venkatesh, Sudhakar K.;
    • Erickson, Bradley J.
    Publication type:
    Article
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    Emergent, After Hours Magnetic Resonance Imaging of the Spine.

    Published in:
    Journal of Neuroimaging, 2015, v. 25, n. 4, p. 590, doi. 10.1111/jon.12156
    By:
    • Black, David F.;
    • Wood, Christopher P.;
    • Wells, Michael L.;
    • Erickson, Bradley J.;
    • Diehn, Felix E.;
    • Kaufmann, Timothy J.;
    • Rydberg, Charlotte H.;
    • Gilbertson, Julie R.;
    • Hunt, Christopher H.
    Publication type:
    Article
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    Magnetic Resonance Imaging Correlates of Multiple Sclerosis Immunopathological Patterns.

    Published in:
    Annals of Neurology, 2021, v. 90, n. 3, p. 440, doi. 10.1002/ana.26163
    By:
    • Metz, Imke;
    • Gavrilova, Ralitza H.;
    • Weigand, Stephen D.;
    • Frischer, Josa M.;
    • Popescu, Bogdan F.;
    • Guo, Yong;
    • Gloth, Mareike;
    • Tobin, William Oliver;
    • Zalewski, Nicholas L.;
    • Lassmann, Hans;
    • Tillema, Jan M.;
    • Erickson, Bradley J.;
    • Parisi, Joseph E.;
    • Becker, Stephanie;
    • König, Fatima B.;
    • Brück, Wolfgang;
    • Lucchinetti, Claudia F.
    Publication type:
    Article
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    Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge.

    Published in:
    Tomography: A Journal for Imaging Research, 2020, v. 6, n. 2, p. 203, doi. 10.18383/j.tom.2020.00012
    By:
    • Bell, Laura C.;
    • Semmineh, Natenael;
    • Hongyu An;
    • Eldeniz, Cihat;
    • Wahl, Richard;
    • Schmainda, Kathleen M.;
    • Prah, Melissa A.;
    • Erickson, Bradley J.;
    • Korfiatis, Panagiotis;
    • Chengyue Wu;
    • Sorace, Anna G.;
    • Yankeelov, Thomas E.;
    • Rutledge, Neal;
    • Chenevert, Thomas L.;
    • Malyarenko, Dariya;
    • Yichu Liu;
    • Brenner, Andrew;
    • Hu, Leland S.;
    • Yuxiang Zhou;
    • Boxerman, Jerrold L.
    Publication type:
    Article
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    Abdominal Body Composition Reference Ranges and Association With Chronic Conditions in an Age- and Sex-Stratified Representative Sample of a Geographically Defined American Population.

    Published in:
    Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2024, v. 79, n. 4, p. 1, doi. 10.1093/gerona/glae055
    By:
    • Weston, Alexander D;
    • Grossardt, Brandon R;
    • Garner, Hillary W;
    • Kline, Timothy L;
    • Chamberlain, Alanna M;
    • Allen, Alina M;
    • Erickson, Bradley J;
    • Rocca, Walter A;
    • Rule, Andrew D;
    • Sauver, Jennifer L St.
    Publication type:
    Article
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    Automated segmentation of endometrial cancer on MR images using deep learning.

    Published in:
    Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-020-80068-9
    By:
    • Hodneland, Erlend;
    • Dybvik, Julie A.;
    • Wagner-Larsen, Kari S.;
    • Šoltészová, Veronika;
    • Munthe-Kaas, Antonella Z.;
    • Fasmer, Kristine E.;
    • Krakstad, Camilla;
    • Lundervold, Arvid;
    • Lundervold, Alexander S.;
    • Salvesen, Øyvind;
    • Erickson, Bradley J.;
    • Haldorsen, Ingfrid
    Publication type:
    Article
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    Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients.

    Published in:
    European Radiology, 2023, v. 33, n. 1, p. 23, doi. 10.1007/s00330-022-08969-z
    By:
    • Kuo, Michael D.;
    • Chiu, Keith W. H.;
    • Wang, David S.;
    • Larici, Anna Rita;
    • Poplavskiy, Dmytro;
    • Valentini, Adele;
    • Napoli, Alessandro;
    • Borghesi, Andrea;
    • Ligabue, Guido;
    • Fang, Xin Hao B.;
    • Wong, Hing Ki C.;
    • Zhang, Sailong;
    • Hunter, John R.;
    • Mousa, Abeer;
    • Infante, Amato;
    • Elia, Lorenzo;
    • Golemi, Salvatore;
    • Yu, Leung Ho P.;
    • Hui, Christopher K. M.;
    • Erickson, Bradley J.
    Publication type:
    Article
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    MedYOLO: A Medical Image Object Detection Framework.

    Published in:
    Journal of Digital Imaging, 2024, v. 37, n. 6, p. 3208, doi. 10.1007/s10278-024-01138-2
    By:
    • Sobek, Joseph;
    • Medina Inojosa, Jose R.;
    • Medina Inojosa, Betsy J.;
    • Rassoulinejad-Mousavi, S. M.;
    • Conte, Gian Marco;
    • Lopez-Jimenez, Francisco;
    • Erickson, Bradley J.
    Publication type:
    Article
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    A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

    Published in:
    Journal of Digital Imaging, 2024, v. 37, n. 5, p. 2015, doi. 10.1007/s10278-024-01083-0
    By:
    • Vahdati, Sanaz;
    • Khosravi, Bardia;
    • Mahmoudi, Elham;
    • Zhang, Kuan;
    • Rouzrokh, Pouria;
    • Faghani, Shahriar;
    • Moassefi, Mana;
    • Tahmasebi, Aylin;
    • Andriole, Katherine P.;
    • Chang, Peter;
    • Farahani, Keyvan;
    • Flores, Mona G.;
    • Folio, Les;
    • Houshmand, Sina;
    • Giger, Maryellen L.;
    • Gichoya, Judy W.;
    • Erickson, Bradley J.
    Publication type:
    Article
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    Checklist for Reproducibility of Deep Learning in Medical Imaging.

    Published in:
    Journal of Digital Imaging, 2024, v. 37, n. 4, p. 1664, doi. 10.1007/s10278-024-01065-2
    By:
    • Moassefi, Mana;
    • Singh, Yashbir;
    • Conte, Gian Marco;
    • Khosravi, Bardia;
    • Rouzrokh, Pouria;
    • Vahdati, Sanaz;
    • Safdar, Nabile;
    • Moy, Linda;
    • Kitamura, Felipe;
    • Gentili, Amilcare;
    • Lakhani, Paras;
    • Kottler, Nina;
    • Halabi, Safwan S.;
    • Yacoub, Joseph H.;
    • Hou, Yuankai;
    • Younis, Khaled;
    • Erickson, Bradley J.;
    • Krupinski, Elizabeth;
    • Faghani, Shahriar
    Publication type:
    Article
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    Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.

    Published in:
    Journal of Digital Imaging, 2023, v. 36, n. 4, p. 1770, doi. 10.1007/s10278-023-00804-1
    By:
    • Gottlich, Harrison C.;
    • Gregory, Adriana V.;
    • Sharma, Vidit;
    • Khanna, Abhinav;
    • Moustafa, Amr U.;
    • Lohse, Christine M.;
    • Potretzke, Theodora A.;
    • Korfiatis, Panagiotis;
    • Potretzke, Aaron M.;
    • Denic, Aleksandar;
    • Rule, Andrew D.;
    • Takahashi, Naoki;
    • Erickson, Bradley J.;
    • Leibovich, Bradley C.;
    • Kline, Timothy L.
    Publication type:
    Article
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    Deep Learning Improves the Temporal Reproducibility of Aortic Measurement.

    Published in:
    Journal of Digital Imaging, 2021, v. 34, n. 5, p. 1183, doi. 10.1007/s10278-021-00465-y
    By:
    • Bratt, Alex;
    • Blezek, Daniel J.;
    • Ryan, William J.;
    • Philbrick, Kenneth A.;
    • Rajiah, Prabhakar;
    • Tandon, Yasmeen K.;
    • Walkoff, Lara A.;
    • Cai, Jason C.;
    • Sheedy, Emily N.;
    • Korfiatis, Panagiotis;
    • Williamson, Eric E.;
    • Erickson, Bradley J.;
    • Collins, Jeremy D.
    Publication type:
    Article