Upregulation of GALNT7 in prostate cancer modifies O-glycosylation and promotes tumour growth von Scott, E, Hodgson, K, Calle, B, Turner, H, Cheung, K, Bermudez, A, Marques, FJG, Pye, H, Yo, EC, Islam, K, Oo, HZ, McClurg, UL, Wilson, L, Thomas, H, Frame, FM, Orozco-Moreno, M, Bastian, K, Arredondo, HM, Roustan, C, Gray, MA, Kelly, L, Tolson, A, Mellor, E, Hysenaj, G, Goode, EA, Garnham, R, Duxfield, A, Heavey, S, Stopka-Farooqui, U, Haider, A, Freeman, A, Singh, S, Johnston, EW, Punwani, S, Knight, B, McCullagh, P, McGrath, J, Crundwell, M, Harries, L, Bogdan, D, Westaby, D, Fowler, G, Flohr, P, Yuan, W, Sharp, A, De Bono, J, Maitland, NJ, Wisnovsky, S, Bertozzi, CR, Heer, R, Guerrero, RH, Daugaard, M, Leivo, J, Whitaker, H, Pitteri, S, Wang, N, Elliott, DJ, Schumann, B, Munkley, J

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Development and evaluation of machine learning in whole-body magnetic resonance imaging for detecting metastases in patients with lung or colon cancer: a diagnostic test accuracy s... von Rockall, AG, Li, X, Johnson, N, Lavdas, I, Santhakumaran, S, Prevost, AT, Punwani, S, Goh, V, Barwick, TD, Bharwani, N, Sandhu, A, Sidhu, H, Plumb, A, Burn, J, Fagan, A, Wengert, GJ, Koh, D-M, Reczko, K, Dou, Q, Warwick, J, Liu, X, Messiou, C, Tunariu, N, Boavida, P, Soneji, N, Johnston, EW, Kelly-Morland, C, De Paepe, KN, Sokhi, H, Wallitt, K, Lakhani, A, Russell, J, Salib, M, Vinnicombe, S, Haq, A, Aboagye, EO, Taylor, S, Glocker, B

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AutoProstate: towards automated reporting of prostate MRI for prostate cancer assessment using deep learning von Mehta, P, Antonelli, M, Singh, S, Grondecka, N, Johnston, EW, Ahmed, HU, Emberton, M, Punwani, S, Ourselin, S

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Multiparametric whole-body 3.0-T MRI in newly diagnosed intermediate- and high-risk prostate cancer: diagnostic accuracy and interobserver agreement for nodal and metastatic stagin... von Johnston, EW, Latifoltojar, A, Sidhu, HS, Ramachandran, N, Sokolska, M, Bainbridge, A, Moore, C, Ahmed, HU, Punwani, S

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Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer von Dikaios, N, Giganti, F, Sidhu, HS, Johnston, EW, Appayya, MB, Simmons, L, Freeman, A, Ahmed, HU, Atkinson, D, Punwani, S

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Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists von Antonelli, M, Johnston, EW, Dikaios, N, Cheung, KK, Sidhu, HS, Appayya, MB, Giganti, F, Simmons, LAM, Freeman, A, Allen, C, Ahmed, HU, Atkinson, D, Ourselin, S, Punwani, S

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VERDICT MRI for prostate cancer: intracellular volume fraction versus apparent diffusion coefficient von Johnston, EW, Bonet-Carne, E, Ferizi, U, Yvernault, B, Pye, H, Patel, D, Clemente, J, Piga, W, Heavey, S, Sidhu, HS, Giganti, F, O'Callaghan, J, Brizmohun Appayya, M, Grey, A, Saborowska, A, Ourselin, S, Hawkes, D, Moore, CM, Emberton, M, Ahmed, HU, Whitaker, H, Rodriguez-Justo, M, Freeman, A, Atkinson, D, Alexander, D, Panagiotaki, E, Punwani, S

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Characterizing indeterminate (Likert-scored 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multi-parametric MRI von Brizmohun Appayya, M, Sidhu, HS, Dikaios, N, Johnston, EW, Simmons, LA, Freeman, A, Kirkham, AP, Ahmed, HU, Punwani, S

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National implementation of multi-parametric MRI for prostate cancer detection - recommendations from a UK consensus meeting von Brizmohun Appayya, M, Adshead, J, Ahmed, HU, Allen, C, Bainbridge, A, Barrett, T, Giganti, F, Graham, J, Haslam, P, Johnston, EW, Kastner, C, Kirkham, APS, Lipton, A, McNeill, A, Moniz, L, Moore, CM, Nabi, G, Padhani, AR, Parker, C, Patel, A, Pursey, J, Richenberg, J, Staffurth, J, Van der Meulen, J, Walls, D, Punwani, S

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"Textural analysis of multiparametric MRI detects transition zone prostate cancer" von Sidhu, HS, Benigno, S, Ganeshan, B, Dikaios, N, Johnston, EW, Allen, C, Kirkham, A, Groves, AM, Ahmed, HU, Emberton, M, Taylor, SA, Halligan, S, Punwani, S

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A variable step size LMS algorithm von Kwong, R.H., Johnston, E.W.

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Diagnostic accuracy of whole-body MRI versus standard imaging pathways for metastatic disease in newly diagnosed non-small-cell lung cancer: The prospective Streamline L trial von Taylor, SA, Mallett, S, Ball, S, Beare, S, Bhatnagar, G, Bhowmik, A, Boavida, P, Bridgewater, J, Clarke, CS, Duggan, M, Ellis, S, Glynne-Jones, R, Goh, V, Groves, AM, Hameeduddin, A, Janes, SM, Johnston, EW, Koh, D-M, Lock, S, Miles, A, Morris, S, Morton, A, Navani, N, Oliver, A, O'Shaughnessy, T, Padhani, AR, Prezzi, D, Punwani, S, Quinn, L, Rafiee, H, Reczko, K, Rockall, AG, Russell, P, Sidhu, HS, Strickland, N, Tarver, K, Teague, J, Halligan, S, Streamline investigators

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An Antimicrobial Stewardship Program's Real-World Experience with Fidaxomicin for Treatment of Clostridium difficile Infection: A Case Series von Vargo, Craig A., Bauer, Karri A., Mangino, Julie E., Johnston, Jessica E.W., Goff, Debra A.

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Diagnostic accuracy of whole-body MRI versus standard imaging pathways for metastatic disease in newly diagnosed colorectal cancer: the prospective Streamline C trial von Taylor, SA, Mallett, S, Beare, S, Bhatnagar, G, Blunt, D, Boavida, P, Bridgewater, J, Clarke, CS, Duggan, M, Ellis, S, Glynne-Jones, R, Goh, V, Groves, AM, Hameeduddin, A, Janes, SM, Johnston, EW, Koh, D-M, Miles, A, Morris, S, Morton, A, Navani, N, O'Donohue, J, Oliver, A, Padhani, AR, Pardoe, H, Patel, U, Punwani, S, Quinn, L, Rafiee, H, Reczko, K, Rockall, AG, Shahabuddin, K, Sidhu, HS, Teague, J, Thaha, MA, Train, M, Van Ree, K, Wijeyekoon, S, Halligan, S, Streamline investigators

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AutoProstate: Towards Automated Reporting of Prostate MRI for Prostate Cancer Assessment Using Deep Learning von Mehta, P, Antonelli, M, Singh, S, Grondecka, N, Johnston, EW, Ahmed, HU, Emberton, M, Punwani, S, Ourselin, S

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ST6GAL1-mediated aberrant sialylation promotes prostate cancer progression von Scott, E, Archer Goode, E, Garnham, R, Hodgson, K, Orozco-Moreno, M, Turner, H, Livermore, K, Putri Nangkana, K, Frame, FM, Bermudez, A, Jose Garcia Marques, F, McClurg, UL, Wilson, L, Thomas, H, Buskin, A, Hepburn, A, Duxfield, A, Bastian, K, Pye, H, Arredondo, HM, Hysenaj, G, Heavey, S, Stopka-Farooqui, U, Haider, A, Freeman, A, Singh, S, Johnston, EW, Punwani, S, Knight, B, McCullagh, P, McGrath, J, Crundwell, M, Harries, L, Heer, R, Maitland, NJ, Whitaker, H, Pitteri, S, Troyer, DA, Wang, N, Elliott, DJ, Drake, RR, Munkley, J

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Multiparametric whole-body 3.0-T MRI in newly diagnosed intermediate- and high-risk prostate cancer: diagnostic accuracy and interobserver agreement for nodal and metastatic stagin... von Johnston, EW, Latifoltojar, A, Sidhu, H, Ramachandran, N, Sokolska, M, Bainbridge, A, Moore, C, Ahmed, H, Punwani, S

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Effect of phacoemulsification on corneal thickness von Vargas, Jose Manuel, McCulley, James P., Bowman, R.Wayne, Johnston, Eric W., Jani, Binoy R., Shen, Joanne

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GAS: A genetic atlas selection strategy in multi-atlas segmentation framework von Antonelli, M, Cardoso, MJ, Johnston, EW, Appayya, MB, Presles, B, Modat, M, Punwani, S, Ourselin, S

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Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T2 MR Images von Devine, W, Giganti, F, Johnston, EW, Sidhu, HS, Panagiotaki, E, Punwani, S, Alexander, DC, Atkinson, D

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