Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Autor: Saha, Anindo, Bosma, Joeran S., Twilt, Jasper J., van Ginneken, Bram, Noordman, Constant R., Slootweg, Ivan, Roest, Christian, Fransen, Stefan J., Sunoqrot, Mohammed R.S., Bathen, Tone F., Rouw, Dennis, Immerzeel, Jos, Geerdink, Jeroen, van Run, Chris, Groeneveld, Miriam, Meakin, James, Karagöz, Ahmet, Bône, Alexandre, Routier, Alexandre, Marcoux, Arnaud, Abi-Nader, Clément, Li, Cynthia Xinran, Feng, Dagan, Alis, Deniz, Karaarslan, Ercan, Ahn, Euijoon, Nicolas, François, Sonn, Geoffrey A., Bhattacharya, Indrani, Kim, Jinman, Shi, Jun, Jahanandish, Hassan, An, Hong, Kan, Hongyu, Oksuz, Ilkay, Qiao, Liang, Rohé, Marc-Michel, Yergin, Mert, Khadra, Mohamed, Şeker, Mustafa E., Kartal, Mustafa S., Debs, Noëlie, Fan, Richard E., Saunders, Sara, Soerensen, Simon J.C., Moroianu, Stefania, Vesal, Sulaiman, Yuan, Yuan, Malakoti-Fard, Afsoun, Mačiūnien, Agnė, Kawashima, Akira, de Sousa Machadov, Ana M.M. de M.G., Moreira, Ana Sofia L., Ponsiglione, Andrea, Rappaport, Annelies, Stanzione, Arnaldo, Ciuvasovas, Arturas, Turkbey, Baris, de Keyzer, Bart, Pedersen, Bodil G., Eijlers, Bram, Chen, Christine, Riccardo, Ciabattoni, Courrech Staal, Ewout F.W., Jäderling, Fredrik, Langkilde, Fredrik, Aringhieri, Giacomo, Brembilla, Giorgio, Son, Hannah, Vanderlelij, Hans, Raat, Henricus P.J., Pikūnienė, Ingrida, Macova, Iva, Schoots, Ivo, Caglic, Iztok, Zawaideh, Jeries P., Wallström, Jonas, Bittencourt, Leonardo K., Khurram, Misbah, Choi, Moon H., Takahashi, Naoki, Tan, Nelly, Franco, Paolo N., Gutierrez, Patricia A., Thimansson, Per Erik, Hanus, Pieter, Puech, Philippe, Rau, Philipp R., de Visschere, Pieter, Guillaume, Ramette, Cuocolo, Renato, Falcão, Ricardo O., van Stiphout, Rogier S.A., Girometti, Rossano, Briediene, Ruta, Grigienė, Rūta, Gitau, Samuel, Withey, Samuel, Ghai, Sangeet, Penzkofer, Tobias, Barrett, Tristan, Tammisetti, Varaha S., Løgager, Vibeke B., Černý, Vladimír, Venderink, Wulphert, Law, Yan M., Lee, Young J., Bjartell, Anders, Padhani, Anwar R., Bonekamp, David, Villeirs, Geert, Salomon, Georg, Giannarini, Gianluca, Kalpathy-Cramer, Jayashree, Barentsz, Jelle, Maier-Hein, Klaus H., Rusu, Mirabela, Obuchowski, Nancy A., Rouvière, Olivier, van den Bergh, Roderick, Panebianco, Valeria, Kasivisvanathan, Veeru, Yakar, Derya, Elschot, Mattijs, Veltman, Jeroen, Fütterer, Jurgen J., de Rooij, Maarten, Huisman, Henkjan, Bosma, Joeran S ^*, Twilt, Jasper J ^*, Padhani, Anwar R, Maier-Hein, Klaus H, Obuchowski, Nancy A, Fütterer, Jurgen J

Publikováno v: In The Lancet Oncology July 2024 25(7):879-887

Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data

Autor: Abi Nader, Clément, Ayache, Nicholas, Robert, Philippe, Lorenzi, Marco

Publikováno v: In NeuroImage 15 January 2020 205

Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data

Autor: Abi Nader, Clément, Ayache, Nicholas, Frisoni, Giovanni B, Robert, Philippe, Lorenzi, Marco

Publikováno v: Brain Communications

In this study, we investigate SimulAD, a novel quantitative instrument for the development of intervention strategies for disease-modifying drugs in Alzheimer's disease. SimulAD is based on the modeling of the spatio-temporal dynamics governing the j

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::1b22a26e3205f88af64d6810df05fc20
http://europepmc.org/articles/PMC8168944

Simulating the outcome of amyloid treatments in Alzheimer's Disease from multi-modal imaging and clinical data

Autor: Abi Nader, Clément, Ayache, Nicholas, Frisoni, Giovanni, Robert, Philippe, Lorenzi, Marco

Publikováno v: Brain Communications
Brain Communications, 2021, ⟨10.1093/braincomms/fcab091⟩
Brain Communications, Oxford University Press on behalf of the Guarantors of Brain, 2021

International audience; In this study we investigate a novel quantitative instrument for the development of intervention strategies for disease modifying drugs in Alzheimer's disease. Our framework is based on the modeling of the spatio-temporal dyna

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::151e5a3aa795ab96138c4ce4dca5e4bb
https://hal.archives-ouvertes.fr/hal-02968724v3/file/preprint.pdf