Zobrazeno 1 - 10
of 5 537
pro vyhledávání: '"Barkhof, Frederik"'
Autor:
Hu, Xiaoling, Sorby-Adams, Annabel, Barkhof, Frederik, Kimberly, W Taylor, Puonti, Oula, Iglesias, Juan Eugenio
White matter hyperintensities (WMH) are a hallmark of cerebrovascular disease and multiple sclerosis. Automated WMH segmentation methods enable quantitative analysis via estimation of total lesion load, spatial distribution of lesions, and number of
Externí odkaz:
http://arxiv.org/abs/2403.13996
Autor:
Laso, Pablo, Cerri, Stefano, Sorby-Adams, Annabel, Guo, Jennifer, Mateen, Farrah, Goebl, Philipp, Wu, Jiaming, Liu, Peirong, Li, Hongwei, Young, Sean I., Billot, Benjamin, Puonti, Oula, Sze, Gordon, Payabavash, Sam, DeHavenon, Adam, Sheth, Kevin N., Rosen, Matthew S., Kirsch, John, Strisciuglio, Nicola, Wolterink, Jelmer M., Eshaghi, Arman, Barkhof, Frederik, Kimberly, W. Taylor, Iglesias, Juan Eugenio
Brain atrophy and white matter hyperintensity (WMH) are critical neuroimaging features for ascertaining brain injury in cerebrovascular disease and multiple sclerosis. Automated segmentation and quantification is desirable but existing methods requir
Externí odkaz:
http://arxiv.org/abs/2312.05119
Autor:
He, Tiantian, Thompson, Elinor, Schroder, Anna, Oxtoby, Neil P., Abdulaal, Ahmed, Barkhof, Frederik, Alexander, Daniel C.
Computational models of neurodegeneration aim to emulate the evolving pattern of pathology in the brain during neurodegenerative disease, such as Alzheimer's disease. Previous studies have made specific choices on the mechanisms of pathology producti
Externí odkaz:
http://arxiv.org/abs/2308.05536
Autor:
Moawad, Ahmed W., Janas, Anastasia, Baid, Ujjwal, Ramakrishnan, Divya, Saluja, Rachit, Ashraf, Nader, Jekel, Leon, Amiruddin, Raisa, Adewole, Maruf, Albrecht, Jake, Anazodo, Udunna, Aneja, Sanjay, Anwar, Syed Muhammad, Bergquist, Timothy, Calabrese, Evan, Chiang, Veronica, Chung, Verena, Conte, Gian Marco Marco, Dako, Farouk, Eddy, James, Ezhov, Ivan, Familiar, Ariana, Farahani, Keyvan, Iglesias, Juan Eugenio, Jiang, Zhifan, Johanson, Elaine, Kazerooni, Anahita Fathi, Kofler, Florian, Krantchev, Kiril, LaBella, Dominic, Van Leemput, Koen, Li, Hongwei Bran, Linguraru, Marius George, Link, Katherine E., Liu, Xinyang, Maleki, Nazanin, Meier, Zeke, Menze, Bjoern H, Moy, Harrison, Osenberg, Klara, Piraud, Marie, Reitman, Zachary, Shinohara, Russel Takeshi, Tahon, Nourel hoda, Nada, Ayman, Velichko, Yuri S., Wang, Chunhao, Wiestler, Benedikt, Wiggins, Walter, Shafique, Umber, Willms, Klara, Avesta, Arman, Bousabarah, Khaled, Chakrabarty, Satrajit, Gennaro, Nicolo, Holler, Wolfgang, Kaur, Manpreet, LaMontagne, Pamela, Lin, MingDe, Lost, Jan, Marcus, Daniel S., Maresca, Ryan, Merkaj, Sarah, Nada, Ayaman, Pedersen, Gabriel Cassinelli, von Reppert, Marc, Sotiras, Aristeidis, Teytelboym, Oleg, Tillmans, Niklas, Westerhoff, Malte, Youssef, Ayda, Godfrey, Devon, Floyd, Scott, Rauschecker, Andreas, Villanueva-Meyer, Javier, Pflüger, Irada, Cho, Jaeyoung, Bendszus, Martin, Brugnara, Gianluca, Cramer, Justin, Perez-Carillo, Gloria J. Guzman, Johnson, Derek R., Kam, Anthony, Kwan, Benjamin Yin Ming, Lai, Lillian, Lall, Neil U., Memon, Fatima, Patro, Satya Narayana, Petrovic, Bojan, So, Tiffany Y., Thompson, Gerard, Wu, Lei, Schrickel, E. Brooke, Bansal, Anu, Barkhof, Frederik, Besada, Cristina, Chu, Sammy, Druzgal, Jason, Dusoi, Alexandru, Farage, Luciano, Feltrin, Fabricio, Fong, Amy, Fung, Steve H., Gray, R. Ian, Ikuta, Ichiro, Iv, Michael, Postma, Alida A., Mahajan, Amit, Joyner, David, Krumpelman, Chase, Letourneau-Guillon, Laurent, Lincoln, Christie M., Maros, Mate E., Miller, Elka, Morón, Fanny, Nimchinsky, Esther A., Ozsarlak, Ozkan, Patel, Uresh, Rohatgi, Saurabh, Saha, Atin, Sayah, Anousheh, Schwartz, Eric D., Shih, Robert, Shiroishi, Mark S., Small, Juan E., Tanwar, Manoj, Valerie, Jewels, Weinberg, Brent D., White, Matthew L., Young, Robert, Zohrabian, Vahe M., Azizova, Aynur, Brüßeler, Melanie Maria Theresa, Fehringer, Pascal, Ghonim, Mohanad, Ghonim, Mohamed, Gkampenis, Athanasios, Okar, Abdullah, Pasquini, Luca, Sharifi, Yasaman, Singh, Gagandeep, Sollmann, Nico, Soumala, Theodora, Taherzadeh, Mahsa, Yordanov, Nikolay, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Malhotra, Ajay, Abayazeed, Aly H., Dellepiane, Francesco, Lohmann, Philipp, Pérez-García, Víctor M., Elhalawani, Hesham, Al-Rubaiey, Sanaria, Armindo, Rui Duarte, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed, Bisschop, Jeroen, Lomer, Nima Broomand, Bukatz, Jan, Chen, Jim, Cimflova, Petra, Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Faghani, Shahriar, Frick, Alexandra, Gulati, Vaibhav, Haider, Muhammad Ammar, Hierro, Fátima, Dahl, Rasmus Holmboe, Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kandemirli, Sedat G., Kersting, Katharina, Kida, Laura, Kollia, Sofia, Koukoulithras, Ioannis, Li, Xiao, Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela, Mateo-Camacho, Yohana Sarahi, McArthur, Mark, McDonnell, Olivia, McHugh, Maire, Moassefi, Mana, Morsi, Samah Mostafa, Muntenu, Alexander, Nandolia, Khanak K., Naqvi, Syed Raza, Nikanpour, Yalda, Alnoury, Mostafa, Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, Samantha, Rawie, Eric, Raymond, Scott, Roohani, Borna, Sabouhi, Sadeq, Sanchez-Garcia, Laura M., Shaked, Zoe, Suthar, Pokhraj P., Altes, Talissa, Isufi, Edvin, Dhermesh, Yaseen, Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul Rahman, Turner, Benjamin, Vacca, Sebastiano, Vilanilam, George K., Warren, Daniel, Weiss, David, Worede, Fikadu, Yousry, Sara, Lerebo, Wondwossen, Aristizabal, Alejandro, Karargyris, Alexandros, Kassem, Hasan, Pati, Sarthak, Sheller, Micah, Bakas, Spyridon, Rudie, Jeffrey D., Aboian, Mariam
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algor
Externí odkaz:
http://arxiv.org/abs/2306.00838
Autor:
Helland, Ragnhild Holden, Ferles, Alexandros, Pedersen, André, Kommers, Ivar, Ardon, Hilko, Barkhof, Frederik, Bello, Lorenzo, Berger, Mitchel S., Dunås, Tora, Nibali, Marco Conti, Furtner, Julia, Hervey-Jumper, Shawn, Idema, Albert J. S., Kiesel, Barbara, Tewari, Rishi Nandoe, Mandonnet, Emmanuel, Müller, Domenique M. J., Robe, Pierre A., Rossi, Marco, Sagberg, Lisa M., Sciortino, Tommaso, Aalders, Tom, Wagemakers, Michiel, Widhalm, Georg, Witte, Marnix G., Zwinderman, Aeilko H., Majewska, Paulina L., Jakola, Asgeir S., Solheim, Ole, Hamer, Philip C. De Witt, Reinertsen, Ingerid, Eijgelaar, Roelant S., Bouget, David
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current stan
Externí odkaz:
http://arxiv.org/abs/2304.08881
Autor:
Puglisi, Lemuel, Barkhof, Frederik, Alexander, Daniel C., Parker, Geoffrey JM, Eshaghi, Arman, Ravì, Daniele
Recent advances in MRI have led to the creation of large datasets. With the increase in data volume, it has become difficult to locate previous scans of the same patient within these datasets (a process known as re-identification). To address this is
Externí odkaz:
http://arxiv.org/abs/2302.13057
Autor:
Sudre, Carole H., Van Wijnen, Kimberlin, Dubost, Florian, Adams, Hieab, Atkinson, David, Barkhof, Frederik, Birhanu, Mahlet A., Bron, Esther E., Camarasa, Robin, Chaturvedi, Nish, Chen, Yuan, Chen, Zihao, Chen, Shuai, Dou, Qi, Evans, Tavia, Ezhov, Ivan, Gao, Haojun, Sanguesa, Marta Girones, Gispert, Juan Domingo, Anson, Beatriz Gomez, Hughes, Alun D., Ikram, M. Arfan, Ingala, Silvia, Jaeger, H. Rolf, Kofler, Florian, Kuijf, Hugo J., Kutnar, Denis, Lee, Minho, Li, Bo, Lorenzini, Luigi, Menze, Bjoern, Molinuevo, Jose Luis, Pan, Yiwei, Puybareau, Elodie, Rehwald, Rafael, Su, Ruisheng, Shi, Pengcheng, Smith, Lorna, Tillin, Therese, Tochon, Guillaume, Urien, Helene, van der Velden, Bas H. M., van der Velpen, Isabelle F., Wiestler, Benedikt, Wolters, Frank J., Yilmaz, Pinar, de Groot, Marius, Vernooij, Meike W., de Bruijne, Marleen
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical resear
Externí odkaz:
http://arxiv.org/abs/2208.07167
Autor:
Venkatraghavan, Vikram, van der Voort, Sebastian R., Bos, Daniel, Smits, Marion, Barkhof, Frederik, Niessen, Wiro J., Klein, Stefan, Bron, Esther E.
Computer-aided methods have shown added value for diagnosing and predicting brain disorders and can thus support decision making in clinical care and treatment planning. This chapter will provide insight into the type of methods, their working, their
Externí odkaz:
http://arxiv.org/abs/2206.14683
Autor:
Ravi, Daniele, Barkhof, Frederik, Alexander, Daniel C., Puglisi, Lemuel, Parker, Geoffrey JM, Eshaghi, Arman
Publikováno v:
Medical Image Analysis 2023
Large medical imaging data sets are becoming increasingly available, but ensuring sample quality without significant artefacts is challenging. Existing methods for identifying imperfections in medical imaging rely on data-intensive approaches, compou
Externí odkaz:
http://arxiv.org/abs/2206.03359