LST-AI: A deep learning ensemble for accurate MS lesion segmentation von Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt

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A Genetic Risk Variant for Multiple Sclerosis Severity is Associated with Brain Atrophy von Gasperi, Christiane, Wiltgen, Tun, McGinnis, Julian, Cerri, Stefano, Moridi, Thomas, Ouellette, Russell, Pukaj, Albert, Voon, Cuici, Bafligil, Cemsel, Lauerer, Markus, Andlauer, Till F. M., Held, Friederike, Aly, Lilian, Shchetynsky, Klementy, Stridh, Pernilla, Harroud, Adil, Wiestler, Benedikt, Kirschke, Jan S., Zimmer, Claus, Baras, Aris, Piehl, Fredrik, Berthele, Achim, Granberg, Tobias, Kockum, Ingrid, Hemmer, Bernhard, Mühlau, Mark

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NISF: Neural Implicit Segmentation Functions von Stolt-Ansó, Nil, McGinnis, Julian, Pan, Jiazhen, Hammernik, Kerstin, Rueckert, Daniel

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Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations von McGinnis, Julian, Shit, Suprosanna, Li, Hongwei Bran, Sideri-Lampretsa, Vasiliki, Graf, Robert, Dannecker, Maik, Pan, Jiazhen, Stolt-Ansó, Nil, Mühlau, Mark, Kirschke, Jan S., Rueckert, Daniel, Wiestler, Benedikt

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Academic reception and public dissemination of neurological research between 2012 and 2021 von Lauerer, Markus, McGinnis, Julian

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Image registration is a geometric deep learning task von Sideri-Lampretsa, Vasiliki, Stolt-Ansó, Nil, Menten, Martin, Qiu, Huaqi, McGinnis, Julian, Rueckert, Daniel

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NISF: Neural Implicit Segmentation Functions von Stolt-Ansó, Nil, McGinnis, Julian, Pan, Jiazhen, Hammernik, Kerstin, Rueckert, Daniel

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Prognostic value of spinal cord lesion measures in early relapsing-remitting multiple sclerosis von Lauerer, Markus, McGinnis, Julian, Bussas, Matthias, El Husseini, Malek, Pongratz, Viola, Engl, Christina, Wuschek, Alexander, Berthele, Achim, Riederer, Isabelle, Kirschke, Jan S, Zimmer, Claus, Hemmer, Bernhard, Muehlau, Mark

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Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations von McGinnis, Julian, Shit, Suprosanna, Li, Hongwei Bran, Sideri-Lampretsa, Vasiliki, Graf, Robert, Dannecker, Maik, Pan, Jiazhen, Ansó, Nil Stolt, Mühlau, Mark, Kirschke, Jan S, Rueckert, Daniel, Wiestler, Benedikt

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Image registration is a geometric deep learning task von Sideri-Lampretsa, Vasiliki, Stolt-Ansó, Nil, Menten, Martin, Qiu, Huaqi, McGinnis, Julian, Rueckert, Daniel

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LST-AI: A deep learning ensemble for accurate MS lesion segmentation von Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt

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NISF: Neural Implicit Segmentation Functions von Stolt-Ansó, Nil, McGinnis, Julian, Pan, Jiazhen, Hammernik, Kerstin, Rueckert, Daniel

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Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) von Paetzold, Johannes C, McGinnis, Julian, Suprosanna Shit, Ezhov, Ivan, Büschl, Paul, Prabhakar, Chinmay, Todorov, Mihail I, Sekuboyina, Anjany, Kaissis, Georgios, Ertürk, Ali, Günnemann, Stephan, Menze, Bjoern H

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A Genetic Risk Variant for Multiple Sclerosis Severity is Associated with Brain Atrophy von Gasperi, Christiane, Wiltgen, Tun, Mcginnis, Julian, Cerri, Stefano, Moridi, Thomas, Ouellette, Russell, Pukaj, Albert, Voon, Cuici, Bafligil, Cemsel, Lauerer, Markus, Andlauer, Till F. M, Held, Friederike, Aly, Lilian, Shchetynsky, Klementy, Stridh, Pernilla, Harroud, Adil, Wiestler, Benedikt, Kirschke, Jan S, Zimmer, Claus, Baras, Aris, Piehl, Fredrik, Berthele, Achim, Granberg, Tobias, Kockum, Ingrid, Hemmer, Bernhard, Muehlau, Mark

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Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations von McGinnis, Julian, Suprosanna Shit, Hongwei Bran Li, Sideri-Lampretsa, Vasiliki, Graf, Robert, Dannecker, Maik, Pan, Jiazhen, Nil Stolt Ansó, Mühlau, Mark, Kirschke, Jan S, Rueckert, Daniel, Wiestler, Benedikt

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Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) von Paetzold, Johannes C, McGinnis, Julian, Shit, Suprosanna, Ezhov, Ivan, Büschl, Paul, Prabhakar, Chinmay, Todorov, Mihail I, Sekuboyina, Anjany, Kaissis, Georgios, Ertürk, Ali, Günnemann, Stephan, Menze, Bjoern

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Analysis of hypoxia and hypoxia-like states through metabolite profiling von Gleason, Julie E, Corrigan, David J, Cox, James E, Reddi, Amit R, McGinnis, Lauren A, Culotta, Valeria C

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A genome-wide association study for celiac disease identifies risk variants in the region harboring IL2 and IL21 von van Heel, David A, Franke, Lude, Hunt, Karen A, Gwilliam, Rhian, Zhernakova, Alexandra, Inouye, Mike, Wapenaar, Martin C, Barnardo, Martin C N M, Bethel, Graeme, Holmes, Geoffrey K T, Feighery, Con, Jewell, Derek, Kelleher, Dermot, Kumar, Parveen, Travis, Simon, Walters, Julian RF, Sanders, David S, Howdle, Peter, Swift, Jill, Playford, Raymond J, McLaren, William M, Mearin, M Luisa, Mulder, Chris J, McManus, Ross, McGinnis, Ralph, Cardon, Lon R, Deloukas, Panos, Wijmenga, Cisca

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Engaging At-Risk Fathers in Home Visiting Services: Effects on Program Retention and Father Involvement von McGinnis, Sandra, Lee, Eunju, Kirkland, Kristen, Smith, Carolyn, Miranda-Julian, Claudia, Greene, Rose

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Let’s Talk About Breastfeeding: The Importance of Delivering a Message in a Home Visiting Program von McGinnis, Sandra, Lee, Eunju, Kirkland, Kristen, Miranda-Julian, Claudia, Greene, Rose

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