日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs

基于人工智能的4.5小时内通过标准眼底照片检测视网膜中央动脉阻塞

Gungor, Ayse; Sarbout, Ilias; Gilbert, Aubrey L; Hamann, Steffen; Lebranchu, Pierre; Hobeanu, Cristina; Gohier, Philippe; Vignal-Clermont, Catherine; Dumitrascu, Oana M; Cohen, Salomon-Yves; Lagrèze, Wolf A; Feltgen, Nicolas; van der Heide, Frank; Lamirel, Cédric; Jonas, Jost B; Obadia, Michael; Racoceanu, Daniel; Milea, Dan

Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images

基于H&E全切片图像的可扩展、可信赖的虚拟多重染色生成模型

Ounissi, Mehdi; Sarbout, Ilias; Hugot, Jean-Pierre; Martinez-Vinson, Christine; Berrebi, Dominique; Racoceanu, Daniel

Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information

利用可靠的组织结构和临床可用信息,根据任何 Gleason 评分预测前列腺癌生化复发

Marin, Laura E; Zavaleta-Guzman, Daniel I; Gutierrez-Garcia, Jessyca I; Racoceanu, Daniel; Casado, Fanny L

Visual Prostheses in the Era of Artificial Intelligence Technology

人工智能技术时代的视觉假体

Sarbout, Ilias; Gungor, Ayse; Ounissi, Mehdi; Zaher, Samy; Ptito, Maurice; Kupers, Ron; Racoceanu, Daniel; Milea, Dan

PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies

PhagoStat 是一个可扩展且可解释的端到端框架,用于有效量化神经退行性疾病研究中的细胞吞噬作用

Mehdi Ounissi, Morwena Latouche, Daniel Racoceanu

Automated deep learning segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer disease brain sections using a proprietary software

利用专有软件对阿尔茨海默病脑切片中的神经炎性斑块和神经原纤维缠结进行自动深度学习分割

Ingrassia, Lea; Boluda, Susana; Potier, Marie-Claude; Haïk, Stéphane; Jimenez, Gabriel; Kar, Anuradha; Racoceanu, Daniel; Delatour, Benoît; Stimmer, Lev

Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative Pathology (ESDIP)

欧洲数字与整合病理学会 (ESDIP) 发布的《在解剖病理实验室实施数字病理工作流程的最佳实践建议》

Fraggetta, Filippo; L'Imperio, Vincenzo; Ameisen, David; Carvalho, Rita; Leh, Sabine; Kiehl, Tim-Rasmus; Serbanescu, Mircea; Racoceanu, Daniel; Della Mea, Vincenzo; Polonia, Antonio; Zerbe, Norman; Eloy, Catarina

Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading

深度学习在计算病理学中的语义分割与分类:以乳腺癌分级中的有丝分裂分析为例

Jiménez, Gabriel; Racoceanu, Daniel

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

深度学习算法在乳腺癌女性淋巴结转移检测中的诊断评估

Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul; van Ginneken, Bram; Karssemeijer, Nico; Litjens, Geert; van der Laak, Jeroen A W M; Hermsen, Meyke; Manson, Quirine F; Balkenhol, Maschenka; Geessink, Oscar; Stathonikos, Nikolaos; van Dijk, Marcory Crf; Bult, Peter; Beca, Francisco; Beck, Andrew H; Wang, Dayong; Khosla, Aditya; Gargeya, Rishab; Irshad, Humayun; Zhong, Aoxiao; Dou, Qi; Li, Quanzheng; Chen, Hao; Lin, Huang-Jing; Heng, Pheng-Ann; Haß, Christian; Bruni, Elia; Wong, Quincy; Halici, Ugur; Öner, Mustafa Ümit; Cetin-Atalay, Rengul; Berseth, Matt; Khvatkov, Vitali; Vylegzhanin, Alexei; Kraus, Oren; Shaban, Muhammad; Rajpoot, Nasir; Awan, Ruqayya; Sirinukunwattana, Korsuk; Qaiser, Talha; Tsang, Yee-Wah; Tellez, David; Annuscheit, Jonas; Hufnagl, Peter; Valkonen, Mira; Kartasalo, Kimmo; Latonen, Leena; Ruusuvuori, Pekka; Liimatainen, Kaisa; Albarqouni, Shadi; Mungal, Bharti; George, Ami; Demirci, Stefanie; Navab, Nassir; Watanabe, Seiryo; Seno, Shigeto; Takenaka, Yoichi; Matsuda, Hideo; Ahmady Phoulady, Hady; Kovalev, Vassili; Kalinovsky, Alexander; Liauchuk, Vitali; Bueno, Gloria; Fernandez-Carrobles, M Milagro; Serrano, Ismael; Deniz, Oscar; Racoceanu, Daniel; Venâncio, Rui

Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

基于纹理、SIFT特征和HMAX的生物启发式方法的自动有丝分裂检测

Irshad, Humayun; Jalali, Sepehr; Roux, Ludovic; Racoceanu, Daniel; Hwee, Lim Joo; Naour, Gilles Le; Capron, Frédérique