Publications

  1. Koons EK, Chang S, Missert AD, Gong H, Thorne JE, Hoodeshenas S, Rajiah PS, McCollough CH, Leng S. Learned high resolution energy-integrating detector CT angiography: Harnessing the power of ultra-high-resolution photon counting detector CT. Med Phys. 2025 Jul; 52 (7):e17874 Epub 2025 May 08
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  2. Ajmera P, Dillard R, Kline T, Missert A, Korfiatis P, Khandelwal A. FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review. Curr Probl Diagn Radiol. 2025 Apr 18 [Epub ahead of print]
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  3. Korfiatis P, Kline TL, Meyer HM, Khalid S, Leiner T, Loufek BT, Blezek D, Vidal DE, Hartman RP, Joppa LJ, Missert AD, Potretzke TA, Taubel JP, Tjelta JA, Callstrom MR, Williamson EE. Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations. Mayo Clin Proc Digit Health. 2025 Mar; 3 (1):100188 Epub 2024 Dec 18
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  4. Ferrero A, Cao W, Missert AD, Favazza CP. Ai-based spectral metal artifact reduction algorithm for improved iodine detection in virtual monoenergetic images: a quantitative assessment for interventional oncology applications. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 2025; 13408:134080Q
  5. Horst KK, Zhou Z, Hull NC, Thacker PG, Kassmeyer BA, Johnson MP, Demirel N, Missert AD, Weger K, Yu L. Radiation dose reduction in pediatric computed tomography (CT) using deep convolutional neural network denoising. Clin Radiol. 2025 Jan; 80:106705. Epub 2024 Sep 21.
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  6. Inoue A, Diehn FE, Nagelschneider AA, Passe TJ, DeLone DR, Nelson BJ, Gomez Cardona DG, Huber NR, Missert AD, Yu L, Johnson MP, Holmes DR 3rd, Lee YS, Thorne JE, McCollough CH, Fletcher JG. Feasibility of thin-slice, low noise images created using multi-kernel synthesis to replace multiple image series in head CT. Acta Radiol. 2024 Nov; 65(11):1411-1421. Epub 2024 Oct 17.
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  7. Wang P, Kline TL, Missert AD, Cook CJ, Callstrom MR, Chan A, Hartman RP, Kelm ZS, Korfiatis P. A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images. J Imaging Inform Med. 2024 Oct; 37 (5):2186-2194 Epub 2024 Apr 08
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  8. Cao W, Parvinian A, Adamo D, Welch B, Callstrom M, Ren L, Missert A, Favazza CP. Deep convolutional-neural-network-based metal artifact reduction for CT-guided interventional oncology procedures (MARIO). Med Phys. 2024 Jun; 51 (6):4231-4242 Epub 2024 Feb 14
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  9. Nelson BJ, Gomez-Cardona DG, Thorne JE, Huber NR, Yu L, Leng S, McCollough CH, Missert AD. Multiple Kernel Synthesis of Head CT Using a Task-Based Loss Function. J Imaging Inform Med. 2024 Apr; 37 (2):864-872 Epub 2024 Jan 12
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  10. Larish A, Horst K, Brunton J, Schenone M, Branda M, Mehta R, Packard A, VanBuren W, Norgan A, Shahi M, Missert A, Pompeian R, Greenwood J, Theiler R. Focal-occult placenta accreta: a clandestine source of maternal morbidity. Am J Obstet Gynecol MFM. 2023 Jun; 5 (6):100924 Epub 2023 Mar 18
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  11. Huber NR, Missert AD, Gong H, Leng S, Yu L, McCollough CH. Technical note: Phantom-based training framework for convolutional neural network CT noise reduction. Med Phys. 2023 Feb; 50 (2):821-830 Epub 2022 Nov 26
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  12. Huber N, Anderson T, Missert A, Adkins M, Leng S, Fletcher J, McCollough C, Yu L, Glazebrook KN. Clinical evaluation of a phantom-based deep convolutional neural network for whole-body-low-dose and ultra-low-dose CT skeletal surveys. Skeletal Radiol. 2022 Jan; 51 (1):145-151 Epub 2021 June 10
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  13. Blezek DJ, Olson-Williams L, Missert A, Korfiatis P. AI Integration in the Clinical Workflow. J Digit Imaging. 2021 Dec; 34 (6):1435-1446 Epub 2021 Oct 22
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  14. Mohammadinejad P, Mileto A, Yu L, Leng S, Guimaraes LS, Missert AD, Jensen CT, Gong H, McCollough CH, Fletcher JG. CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques. Radiographics. 2021 Sep-Oct; 41 (5):1493-1508
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  15. Huber NR, Missert AD, Erickson BJ. Magician's Corner: 7. Using Convolutional Neural Networks to Reduce Noise in Medical Images. Radiol Artif Intell 2020 Sep 30; 2 (5):e200036 Epub 2020 Sept 30
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  16. Missert AD, Yu L, Leng S, Fletcher JG, McCollough CH. Synthesizing images from multiple kernels using a deep convolutional neural network. Med Phys. 2020 Feb; 47 (2):422-430 Epub 2019 Dec 29
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  17. Abe K. et al., T2K Collaboration, Missert A.. Search for CP violation in neutrino and antineutrino oscillations by the T2K experiment with 2.2 x 10^{21} protons on target APS Physics Physical Review Letters. 2018; 121(17).
  18. Abe K. et al., T2K Collaboration The, Missert A.. Updated T2K measurements of muon neutrino and antineutrino disappearance using 1.5×10^{21} protons on target APS Physics, Physical Review D Covering Particles, Fields, Gravatiation, and Cosmology. 2017; 96(1).
  19. Abe K. et al., Collaboration The T2K, Missert A.. Measurement of Neutrino and Antineutrino Oscillations by the T2K Experiment Including a New Additional Sample of Ve Interactions at the Far Detector APS Physics, Physical Review D, Covering Particles, Fields, Gravitation, and Cosmology. 2017; 96(9).
  20. Abe K. et al., T2K Collaboration, Missert A.. Combined Analysis of Neutrino and Antineutrino Oscillations at T2K APS Physics, Physical Review Letters. 2017; 118(15).
  21. Abe K. et al., T2K Collaboration, Missert A.. Measurements of neutrino oscillation in appearance and disappearance channels by the T2K experiment with 6.6 x 10^{20} protons on target APS Physics, Physical Review D Covering Particles, Fields, Gravitation, and Cosmology. 2015; 91(7).
  22. Sekiguchi T. et al., A. Missert. Development and operational experience of magnetic horn system for T2K experiment Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2015; 789:57-80.
  23. Abe K. et al., T2K Collaboration, Missert A.. Precise Measurement of the Neutrino Mixing Parameter 023 from Muon Neutrino Disappearance in an Off-Axis Beam APS Physics, Physical Review Letters. 2014; 112(18).
  24. Abe K, Adam J, Aihara H, Akiri T, Andreopoulos C, Aoki S, Ariga A, Ariga T, Assylbekov S, Autiero D, Barbi M, Barker GJ, Barr G, Bass M, Batkiewicz M, Bay F, Bentham SW, Berardi V, Berger BE, Berkman S, Bertram I, Bhadra S, Blaszczyk FD, Blondel A, Bojechko C, Bordoni S, Boyd SB, Brailsford D, Bravar A, Bronner C, Buchanan N, Calland RG, Caravaca Rodriguez J, Cartwright SL, Castillo R, Catanesi MG, Cervera A, Cherdack D, Christodoulou G, Clifton A, Coleman J, Coleman SJ, Collazuol G, Connolly K, Cremonesi L, Dabrowska A, Danko I, Das R, Davis S, de Perio P, De Rosa G, Dealtry T, Dennis SR, Densham C, Di Lodovico F, Di Luise S, Drapier O, Duboyski T, Duffy K, Dufour F, Dumarchez J, Dytman S, Dziewiecki M, Emery S, Ereditato A, Escudero L, Finch AJ, Floetotto L, Friend M, Fujii Y, Fukuda Y, Furmanski AP, Galymov V, Gaudin A, Giffin S, Giganti C, Gilje K, Goeldi D, Golan T, Gomez-Cadenas JJ, Gonin M, Grant N, Gudin D, Hadley DR, Haesler A, Haigh MD, Hamilton P, Hansen D, Hara T, Hartz M, Hasegawa T, Hastings NC, Hayato Y, Hearty C, Helmer RL, Hierholzer M, Hignight J, Hillairet A, Himmel A, Hiraki T, Hirota S, Holeczek J, Horikawa S, Huang K, Ichikawa AK, Ieki K, Ieva M, Ikeda M, Imber J, Insler J, Irvine TJ, Ishida T, Ishii T, Ives SJ, Iyogi K, Izmaylov A, Jacob A, Jamieson B, Johnson RA, Jo JH, Jonsson P, Jung CK, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kanazawa Y, Karlen D, Karpikov I, Kearns E, Khabibullin M, Khotjantsev A, Kielczewska D, Kikawa T, Kilinski A, Kim J, Kisiel J, Kitching P, Kobayashi T, Koch L, Kolaceke A, Konaka A, Kormos LL, Korzenev A, Koseki K, Koshio Y, Kreslo I, Kropp W, Kubo H, Kudenko Y, Kumaratunga S, Kurjata R, Kutter T, Lagoda J, Laihem K, Lamont I, Laveder M, Lawe M, Lazos M, Lee KP, Licciardi C, Lindner T, Lister C, Litchfield RP, Longhin A, Ludovici L, Macaire M, Magaletti L, Mahn K, Malek M, Manly S, Marino AD, Marteau J, Martin JF, Maruyama T, Marzec J, Mathie EL, Matveev V, Mavrokoridis K, Mazzucato E, McCarthy M, McCauley N, McFarland KS, McGrew C, Metelko C, Mezzetto M, Mijakowski P, Miller CA, Minamino A, Mineev O, Mine S, Missert A, Miura M, Monfregola L, Moriyama S, Mueller TA, Murakami A, Murdoch M, Murphy S, Myslik J, Nagasaki T, Nakadaira T, Nakahata M, Nakai T, Nakamura K, Nakayama S, Nakaya T, Nakayoshi K, Naples D, Nielsen C, Nirkko M, Nishikawa K, Nishimura Y, O'Keeffe HM, Ohta R, Okumura K, Okusawa T, Oryszczak W, Oser SM, Owen RA, Oyama Y, Palladino V, Paolone V, Payne D, Pearce GF, Perevozchikov O, Perkin JD, Petrov Y, Pickard LJ, Pinzon Guerra ES, Pistillo C, Plonski P, Poplawska E, Popov B, Posiadala M, Poutissou JM, Poutissou R, Przewlocki P, Quilain B, Radicioni E, Ratoff PN, Ravonel M, Rayner MA, Redij A, Reeves M, Reinherz-Aronis E, Retiere F, Robert A, Rodrigues PA, Rojas P, et al, T2K Collaboration, Smith B, Suzuki A, Wilson JR, Wilson RJ. Observation of electron neutrino appearance in a muon neutrino beam. Phys Rev Lett. 2014 Feb 14; 112 (6):061802 Epub 2014 Feb 10
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  25. Abe K., T2K, Missert A.. Measurement of Neutrino Oscillation Parameters from Muon Neutrino Disappearance with an Off-Axis Beam APS Physics, Physical Review Letters. 2013; 111(21).
  26. Abe K., T2K, Missert A.. Evidence of Electron Neutrino Appearance in a Muon Neutrino Beam APS Physics, Physical Review D Covering Particles, Fields, Gravitation, and Cosmology. 2013; 88(3).
  27. Abe K. et al., T2K Collaboration, Missert A.. T2K Neutrino Flux Prediction APS Physics, Physical Review D Covering Particles, Fields, Gravitation, and Cosmology. 2013; 87(1).