Complications of abdominal biopsy von Kumaradevan, J, Babar, S, Watkinson, A F

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PROMIS — Prostate MR imaging study: A paired validating cohort study evaluating the role of multi-parametric MRI in men with clinical suspicion of prostate cancer von El-Shater Bosaily, A, Parker, C, Brown, L.C, Gabe, R, Hindley, R.G, Kaplan, R, Emberton, M, Ahmed, H.U

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Single centre open study to compare patient recording of PRN salbutamol use on a daily diary card with actual use as recorded by the MDI compliance monitor von Hamid, S., Kumaradevan, J., Cochrane, G.M.

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Imaging in the preoperative assessment of conjoined twins von Kingston, C A, McHugh, K, Kumaradevan, J, Kiely, E M, Spitz, L

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Percutaneous Nephrolithotomy-State of the Art von Bhattacharjya, Tanushree, Kumaradevan, Jeevan, Watkinson, Anthony F.

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Additional Value of Dynamic Contrast-enhanced Sequences in Multiparametric Prostate Magnetic Resonance Imaging: Data from the PROMIS Study von Bosaily, AE-S, Frangou, E, Ahmed, HU, Emberton, M, Punwani, S, Kaplan, R, Brown, LC, Freeman, A, Jameson, C, Hindley, R, Peppercorn, D, Thrower, A, Winkler, M, Barwick, T, Stewart, V, Burns-Cox, N, Burn, P, Ghei, M, Kumaradevan, J, Prasad, R, Ash-Miles, J, Shergill, I, Agarwal, S, Rosario, D, Salim, F, Bott, S, Evans, H, Henderson, A, Ghosh, S, Dudderidge, T, Smart, J, Tung, K, Kirkham, A, PROMIS Group

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MicroRNA-21 promotes Th17 differentiation and mediates experimental autoimmune encephalomyelitis von Murugaiyan, Gopal, da Cunha, Andre Pires, Ajay, Amrendra K, Joller, Nicole, Garo, Lucien P, Kumaradevan, Sowmiya, Yosef, Nir, Vaidya, Vishal S, Weiner, Howard L

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Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors von Hampshire, Jonathan, Dicken, Bryan J., Uruththirakodeeswaran, Thanuja, Punithakumar, Kumaradevan, Noga, Michelle

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Sparsentan in patients with IgA nephropathy: a prespecified interim analysis from a randomised, double-blind, active-controlled clinical trial von Heerspink, Hiddo J L, Wong, Muh Geot, Perkovic, Vlado, Del Vecchio, Lucia, Nolasco, Fernando Eduardo Barbosa, Praga, Manual, Rabindranath, Kannaiyan, Wong, Muh Geot, Yeap, Chii, Clayton, Philip, Coates, Toby, Waugh, Jane, Noble, Euan, Wan, Susan, Foote, Celine, Endre, Zoltan, Wijeratne, Vidu, Ombelet, Sara, Warling, Xavier, Barisic, Dunja, Drinkovic, Martin, Masson, Ingrid, Dinic, Miriana, Fouassier, David, Karras, Alexandre, Delmas, Yahsou, Rigothier, Claire, de Précigout, Valérie, Draganova, Diliana, Heinrichs, Sven, Kulka, Simone, Sarnow, Franziska, Stamellou, Eleni, Sanden, Silja, Patecki, Margret, Girardet, Annette, Kunzendorf, Ulrich, Mok, Maggie Ming Yee, Szeto, Cheuk Chun, Fung, Ka Shun Samuel, Yim, Ka Fai, Wong, Sze Ho Sunny, Cogno, Chiara, Zizzi, Carlotta Federica, Napodano, Pietro, Accarino, Simone, Urciuolo, Federica, Bumblyte', Inga Arune, Pilmore, Helen, Manley, Paul, Goh, Tze, Ahmed, Jafar, Jander, Anna, Sulowicz, Wladyslaw, Raimundo, Mario, Nolasco, Fernando, Menezes, Maria, Cardoso, Filipa, Barata, Rui, Oh, Kook-Hwan, Lee, Kyu-Beck, Lee, Hyung-seok, Jo, Sang-Kyung, Oh, SeWon, Gimeno, Ana Vilar, Tamarit, Esther, Verde Moreno, Eduardo, Verdalles Guzman, Ursula, Prado, Raul Fernandez, Arias, Carlos, Allende Burgos, Natalia, Gutierrez Solis, Elena, Rodas Marin, Lida Maria, Garcia Carro, Clara, Alonso Garcia, Fabiola, Velo Plaza, Mercedes, Moreno, Antolina, Wang, Chih-Hsien, Chen, Chien-Liang, Dasgupta, Indranil, Hamilton, Patrick, Al Chalabi, Saif, DaSilva, Louise, Henderson, Amy, Keller, Christopher, Kattamanchi, Siddhartha, Gautam, Archana, Daneshvari, Sam, Lagatta, Mark, Ahmad, Syeda, Canetta, Pietro, Negrea, Lavinia, Lifland, Howard, Green, Heather, Rizk, Dana, Garg, Gunjan, Mandayam, Sreedhar, Workeneh, Biruh, Assefi, Ali, Sullivan, James

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Efficacy and safety of sparsentan versus irbesartan in patients with IgA nephropathy (PROTECT): 2-year results from a randomised, active-controlled, phase 3 trial von Rovin, Brad H, Floege, Jürgen, Oh, Se Won, Rheault, Michelle N, Tang, Sydney C W, Ahn, Wooin, Auerbach, Asta, Augustyniak-Bartosik, Hanna, Avella, Monroy, Bernabeu, Ana Avila, Burgos, Natalia Allende, Burtey, Stephane, Carro, Clara Garcia, Chan, Doris, Chen, Chien-Liang, Combe, Christian, Decupere, Marc, Dhaygude, Ajay, Di Maio, Federica, Dika, Zivka, Dobre, Mirela, Draganova, Diliana, Drexler, Yelena, Enrique, Jorge, Eqbal, Yusuf, Fakih, Faisal, Fang, Hua-Chang, Fearday, Aaron, Fernandes, Adriana, Fernandez, Jose Luño, Figueiredo, Ana Carolina, Fonseca, Nuno, Foote, Celine, Forbes, Suzanne, Gadh, Rajdeep, Gaisset, Roxane, Gangadharan, Muralikrishna, Garcia, Fabiola Alonso, Garcia, Olga Gracia, Garg, Gunjan, Gonzalez, Carlos, Jain, Arunima, Jelakovic, Bojan, Jeon, Junseok, Jo, Sang-Kyung, Jones, Rachel, Karras, Alexandre, Kim, Yunmi, Kon, Sui, Kwella, Norbert, Lee, Moon Hyoung, Lee, Hyun Hee, Lim, Wai, Livrozet, Marine, Luxton, Grant, Ma, Mingyao, Madonia, Phillip, Mahdi, Eamon, Maillard, Nicolas, McGreal, Kerri, McMahon, Kellyn, Mehta, Kshama, Meng, Jerry, Messa, Piergiorgio, Mojarrab, Javad, Moonen, Martial, Mucha, Simon, Nitschke, Martin, Noble, Euan, Nolasco, Fernando, Oh, Kook-Hwan, Oh, SeWon, Patel Suthar, Meera, Patella, Gemma, Patrikyan, Artashes, Pavlovic, Drasko, Perez de Jose, Ana, Quinn, Sarah, Radhakrishnan, Jai, Randone, Paolo, Remuzzi, Giuseppe, Roger, Simon, Rony, Mohammad, Roueff, Stephane, Schlieper, Georg, Schulz, Lisa, Solomon, Laurence, Stankuviene, Asta, Stompor, Tomasz, Tang, Sydney Chi Wai, Tang, Hon, Thervet, Eric, Turnbull, Angus, Vilayur, Eswari, Villen, Alejandro Soria, Weiner, Stefan, Wilder, Karen, Wyndham, Roger, Yang, Jihyun, Yu, Tung-Min

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Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks von Abdolali, Fatemeh, Kapur, Jeevesh, Jaremko, Jacob L., Noga, Michelle, Hareendranathan, Abhilash R., Punithakumar, Kumaradevan

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The implications of two outlet boundary conditions on blood flow simulations in normal aorta of pediatric subjects von Jia, Yuxi, Punithakumar, Kumaradevan, Noga, Michelle, Hemmati, Arman

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Blood Flow Manipulation in the Aorta With Coarctation and Arch Narrowing for Pediatric Subjects von Jia, Yuxi, Punithakumar, Kumaradevan, Noga, Michelle, Hemmati, Arman

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High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2 von Selvamanikkam, Meruja, Noga, Michelle, Khoo, Nee Scze, Punithakumar, Kumaradevan

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Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge von Campello, Victor M., Gkontra, Polyxeni, Izquierdo, Cristian, Martin-Isla, Carlos, Sojoudi, Alireza, Full, Peter M., Maier-Hein, Klaus, Zhang, Yao, He, Zhiqiang, Ma, Jun, Parreno, Mario, Albiol, Alberto, Kong, Fanwei, Shadden, Shawn C., Acero, Jorge Corral, Sundaresan, Vaanathi, Saber, Mina, Elattar, Mustafa, Li, Hongwei, Menze, Bjoern, Khader, Firas, Haarburger, Christoph, Scannell, Cian M., Veta, Mitko, Carscadden, Adam, Punithakumar, Kumaradevan, Liu, Xiao, Tsaftaris, Sotirios A., Huang, Xiaoqiong, Yang, Xin, Li, Lei, Zhuang, Xiahai, Vilades, David, Descalzo, Martin L., Guala, Andrea, Mura, Lucia La, Friedrich, Matthias G., Garg, Ria, Lebel, Julie, Henriques, Filipe, Karakas, Mahir, Cavus, Ersin, Petersen, Steffen E., Escalera, Sergio, Segui, Santi, Rodriguez-Palomares, Jose F., Lekadir, Karim

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GMCNet: A generative multi-resolution framework for cardiac registration von Sheikhjafari, Ameneh, Noga, Michelle, Ahmed, Ahmed, Ray, Nilanjan, Punithakumar, Kumaradevan

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A GPU-Accelerated Deformable Image Registration Algorithm With Applications to Right Ventricular Segmentation von Punithakumar, Kumaradevan, Boulanger, Pierre, Noga, Michelle

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A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences von Krishnaswamy, Deepa, Noga, Michelle, Becher, Harald, Boulanger, Pierre, Punithakumar, Kumaradevan

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Two-Step Rigid and Non-Rigid Image Registration for the Alignment of Three-Dimensional Echocardiography Sequences from Multiple Views von Shanmuganathan, Srivathsan, Noga, Michelle, Boulanger, Pierre, Foster, Bernadette, Becher, Harald, Punithakumar, Kumaradevan

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Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&ms Challenge von Martin-Isla, Carlos, Campello, Victor M., Izquierdo, Cristian, Kushibar, Kaisar, Sendra-Balcells, Carla, Gkontra, Polyxeni, Sojoudi, Alireza, Fulton, Mitchell J, Arega, Tewodros Weldebirhan, Punithakumar, Kumaradevan, Li, Lei, Sun, Xiaowu, Khalil, Yasmina Al, Liu, Di, Jabbar, Sana, Queiros, Sandro, Galati, Francesco, Mazher, Moona, Gao, Zheyao, Beetz, Marcel, Tautz, Lennart, Galazis, Christoforos, Varela, Marta, Hullebrand, Markus, Grau, Vicente, Zhuang, Xiahai, Puig, Domenec, Zuluaga, Maria A., Mohy-ud-Din, Hassan, Metaxas, Dimitris, Breeuwer, Marcel, Geest, Rob J. van der, Noga, Michelle, Bricq, Stephanie, Rentschler, Mark E., Guala, Andrea, Petersen, Steffen E., Escalera, Sergio, Palomares, Jose F. Rodriguez, Lekadir, Karim

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