Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Marini, Niccolò"'
Autor:
Marini, Niccolò, Marchesin, Stefano, Ferris, Lluis Borras, Püttmann, Simon, Wodzinski, Marek, Fratti, Riccardo, Podareanu, Damian, Caputo, Alessandro, Boytcheva, Svetla, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris, Silvello, Gianmaria, Atzori, Manfredo, Müller, Henning
The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations to train DL algorithms to perform a specific task is the need for medi
Externí odkaz:
http://arxiv.org/abs/2406.14351
DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignment, and nonrigid registration of WSIs acquired using multiple stains (
Externí odkaz:
http://arxiv.org/abs/2404.14434
Publikováno v:
Computer Methods and Programs in Biomedicine, Vol. 250, 2024
The automatic registration of differently stained whole slide images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary information emerging from different visible structures. It is also useful to quickly transfer annotat
Externí odkaz:
http://arxiv.org/abs/2404.13108
Autor:
Weitz, Philippe, Valkonen, Masi, Solorzano, Leslie, Carr, Circe, Kartasalo, Kimmo, Boissin, Constance, Koivukoski, Sonja, Kuusela, Aino, Rasic, Dusan, Feng, Yanbo, Pouplier, Sandra Sinius, Sharma, Abhinav, Eriksson, Kajsa Ledesma, Robertson, Stephanie, Marzahl, Christian, Gatenbee, Chandler D., Anderson, Alexander R. A., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolò, Atzori, Manfredo, Müller, Henning, Budelmann, Daniel, Weiss, Nick, Heldmann, Stefan, Lotz, Johannes, Wolterink, Jelmer M., De Santi, Bruno, Patil, Abhijeet, Sethi, Amit, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Farrokh, Mahtab, Kumar, Neeraj, Greiner, Russell, Latonen, Leena, Laenkholm, Anne-Vibeke, Hartman, Johan, Ruusuvuori, Pekka, Rantalainen, Mattias
The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability of large WSI datasets have revolutionised WSI analysis. Therefore, th
Externí odkaz:
http://arxiv.org/abs/2305.18033
Publikováno v:
MICCAI Brainlesion 2022
Registration of brain scans with pathologies is difficult, yet important research area. The importance of this task motivated researchers to organize the BraTS-Reg challenge, jointly with IEEE ISBI 2022 and MICCAI 2022 conferences. The organizers int
Externí odkaz:
http://arxiv.org/abs/2211.07386
Autor:
Graziani, Mara, Marini, Niccolò, Deutschmann, Nicolas, Janakarajan, Nikita, Müller, Henning, Martínez, María Rodríguez
Interpretability of deep learning is widely used to evaluate the reliability of medical imaging models and reduce the risks of inaccurate patient recommendations. For models exceeding human performance, e.g. predicting RNA structure from microscopy i
Externí odkaz:
http://arxiv.org/abs/2208.13776
Autor:
Marini, Niccoló, Atzori, Manfredo, Otálora, Sebastian, Marchand-Maillet, Stephane, Müller, Henning
Computational pathology is a domain that aims to develop algorithms to automatically analyze large digitized histopathology images, called whole slide images (WSI). WSIs are produced scanning thin tissue samples that are stained to make specific stru
Externí odkaz:
http://arxiv.org/abs/2201.06329
Autor:
Baheti, Bhakti, Chakrabarty, Satrajit, Akbari, Hamed, Bilello, Michel, Wiestler, Benedikt, Schwarting, Julian, Calabrese, Evan, Rudie, Jeffrey, Abidi, Syed, Mousa, Mina, Villanueva-Meyer, Javier, Fields, Brandon K. K., Kofler, Florian, Shinohara, Russell Takeshi, Iglesias, Juan Eugenio, Mok, Tony C. W., Chung, Albert C. S., Wodzinski, Marek, Jurgas, Artur, Marini, Niccolo, Atzori, Manfredo, Muller, Henning, Grobroehmer, Christoph, Siebert, Hanna, Hansen, Lasse, Heinrich, Mattias P., Canalini, Luca, Klein, Jan, Gerken, Annika, Heldmann, Stefan, Hering, Alessa, Hahn, Horst K., Meng, Mingyuan, Bi, Lei, Feng, Dagan, Kim, Jinman, Zeineldin, Ramy A., Karar, Mohamed E., Mathis-Ullrich, Franziska, Burgert, Oliver, Abderezaei, Javid, Pionteck, Aymeric, Chopra, Agamdeep, Kurt, Mehmet, Yan, Kewei, Yan, Yonghong, Tang, Zhe, Ma, Jianqiang, Nasser, Sahar Almahfouz, Kurian, Nikhil Cherian, Meena, Mohit, Shamsi, Saqib, Sethi, Amit, Tustison, Nicholas J., Avants, Brian B., Cook, Philip, Gee, James C., Tian, Lin, Greer, Hastings, Niethammer, Marc, Hoopes, Andrew, Hoffmann, Malte, Dalca, Adrian V., Christodoulidis, Stergios, Estiene, Theo, Vakalopoulou, Maria, Paragios, Nikos, Marcus, Daniel S., Davatzikos, Christos, Sotiras, Aristeidis, Menze, Bjoern, Bakas, Spyridon, Waldmannstetter, Diana
Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing general-purpose medical image registration techniques, they have not yet a
Externí odkaz:
http://arxiv.org/abs/2112.06979
Autor:
Dominguez-Morales, Juan P., Duran-Lopez, Lourdes, Marini, Niccolò, Vicente-Diaz, Saturnino, Linares-Barranco, Alejandro, Atzori, Manfredo, Müller, Henning
Publikováno v:
In Medical Image Analysis July 2024 95
Autor:
Marini, Niccolò, Marchesin, Stefano, Wodzinski, Marek, Caputo, Alessandro, Podareanu, Damian, Guevara, Bryan Cardenas, Boytcheva, Svetla, Vatrano, Simona, Fraggetta, Filippo, Ciompi, Francesco, Silvello, Gianmaria, Müller, Henning, Atzori, Manfredo
Publikováno v:
In Medical Image Analysis October 2024 97