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

Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma.

胰腺导管腺癌分支类器官模型中异质性驱动的表型可塑性和治疗反应

Papargyriou Aristeidis, Najajreh Mulham, Cook David P, Maurer Carlo H, Bärthel Stefanie, Messal Hendrik A, Ravichandran Sakthi K, Richter Till, Knolle Moritz, Metzler Thomas, Shastri Akul R, Öllinger Rupert, Jasper Jacob, Schmidleitner Laura, Wang Surui, Schneeweis Christian, Ishikawa-Ankerhold Hellen, Engleitner Thomas, Mataite Laura, Semina Mariia, Trabulssi Hussein, Lange Sebastian, Ravichandra Aashreya, Schuster Maximilian, Mueller Sebastian, Peschke Katja, Schäfer Arlett, Dobiasch Sophie, Combs Stephanie E, Schmid Roland M, Bausch Andreas R, Braren Rickmer, Heid Irina, Scheel Christina H, Schneider Günter, Zeigerer Anja, Luecken Malte D, Steiger Katja, Kaissis Georgios, van Rheenen Jacco, Theis Fabian J, Saur Dieter, Rad Roland, Reichert Maximilian

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

FUTURE-AI:医疗保健领域值得信赖且可部署的人工智能国际共识指南

Karim Lekadir, Alejandro F Frangi, Antonio R Porras, Ben Glocker, Celia Cintas, Curtis P Langlotz, Eva Weicken, Folkert W Asselbergs, Fred Prior, Gary S Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A Schnabel, Kaisar Kushibar, Katrine Riklund, 

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

加密联邦学习用于癌症图像分析中的安全去中心化协作

Truhn, Daniel; Tayebi Arasteh, Soroosh; Saldanha, Oliver Lester; Müller-Franzes, Gustav; Khader, Firas; Quirke, Philip; West, Nicholas P; Gray, Richard; Hutchins, Gordon G A; James, Jacqueline A; Loughrey, Maurice B; Salto-Tellez, Manuel; Brenner, Hermann; Brobeil, Alexander; Yuan, Tanwei; Chang-Claude, Jenny; Hoffmeister, Michael; Foersch, Sebastian; Han, Tianyu; Keil, Sebastian; Schulze-Hagen, Maximilian; Isfort, Peter; Bruners, Philipp; Kaissis, Georgios; Kuhl, Christiane; Nebelung, Sven; Kather, Jakob Nikolas

(Predictable) performance bias in unsupervised anomaly detection

无监督异常检测中(可预测的)性能偏差

Meissen, Felix; Breuer, Svenja; Knolle, Moritz; Buyx, Alena; Müller, Ruth; Kaissis, Georgios; Wiestler, Benedikt; Rückert, Daniel

Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study

深度学习衍生的身体成分在晚期胰腺癌预后中的价值——一项回顾性多中心研究

Keyl, J; Bucher, A; Jungmann, F; Hosch, R; Ziller, A; Armbruster, R; Malkomes, P; Reissig, T M; Koitka, S; Tzianopoulos, I; Keyl, P; Kostbade, K; Albers, D; Markus, P; Treckmann, J; Nassenstein, K; Haubold, J; Makowski, M; Forsting, M; Baba, H A; Kasper, S; Siveke, J T; Nensa, F; Schuler, M; Kaissis, G; Kleesiek, J; Braren, R

Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections

开发基于图像的随机森林分类器,用于预测腹腔镜乙状结肠切除术的手术时间

Lippenberger, Florian; Ziegelmayer, Sebastian; Berlet, Maximilian; Feussner, Hubertus; Makowski, Marcus; Neumann, Philipp-Alexander; Graf, Markus; Kaissis, Georgios; Wilhelm, Dirk; Braren, Rickmer; Reischl, Stefan

Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs

利用差分隐私保护协同医疗人工智能:基于域转移的胸部X光片分类

Gao, Liang; Xie, Wenjie; Li, Kun; Huang, Gaomin; Ji, Yuanhai; Ou, Yangkang; Chen, Jie; Prejbeanu, I; Assani, M Z; Niculescu, F; Prunariu, L A; Prejbeanu, R G; Backus, Sherry I; Kraszewski, Andrew; Kontaxis, Andreas; Gibbons, Mandi; Bido, Jennifer; Graziano, Jessica; Hafer, Jocelyn; Jones, Kristofer J; Hillstrom, Howard; Fealy, Stephen; Tayebi Arasteh, Soroosh; Lotfinia, Mahshad; Nolte, Teresa; Sähn, Marwin-Jonathan; Isfort, Peter; Kuhl, Christiane; Nebelung, Sven; Kaissis, Georgios; Truhn, Daniel

The Liver Tumor Segmentation Benchmark (LiTS)

肝脏肿瘤分割基准(LiTS)

Bilic, Patrick; Christ, Patrick; Li, Hongwei Bran; Vorontsov, Eugene; Ben-Cohen, Avi; Kaissis, Georgios; Szeskin, Adi; Jacobs, Colin; Mamani, Gabriel Efrain Humpire; Chartrand, Gabriel; Lohöfer, Fabian; Holch, Julian Walter; Sommer, Wieland; Hofmann, Felix; Hostettler, Alexandre; Lev-Cohain, Naama; Drozdzal, Michal; Amitai, Michal Marianne; Vivanti, Refael; Sosna, Jacob; Ezhov, Ivan; Sekuboyina, Anjany; Navarro, Fernando; Kofler, Florian; Paetzold, Johannes C; Shit, Suprosanna; Hu, Xiaobin; Lipková, Jana; Rempfler, Markus; Piraud, Marie; Kirschke, Jan; Wiestler, Benedikt; Zhang, Zhiheng; Hülsemeyer, Christian; Beetz, Marcel; Ettlinger, Florian; Antonelli, Michela; Bae, Woong; Bellver, Míriam; Bi, Lei; Chen, Hao; Chlebus, Grzegorz; Dam, Erik B; Dou, Qi; Fu, Chi-Wing; Georgescu, Bogdan; Giró-I-Nieto, Xavier; Gruen, Felix; Han, Xu; Heng, Pheng-Ann; Hesser, Jürgen; Moltz, Jan Hendrik; Igel, Christian; Isensee, Fabian; Jäger, Paul; Jia, Fucang; Kaluva, Krishna Chaitanya; Khened, Mahendra; Kim, Ildoo; Kim, Jae-Hun; Kim, Sungwoong; Kohl, Simon; Konopczynski, Tomasz; Kori, Avinash; Krishnamurthi, Ganapathy; Li, Fan; Li, Hongchao; Li, Junbo; Li, Xiaomeng; Lowengrub, John; Ma, Jun; Maier-Hein, Klaus; Maninis, Kevis-Kokitsi; Meine, Hans; Merhof, Dorit; Pai, Akshay; Perslev, Mathias; Petersen, Jens; Pont-Tuset, Jordi; Qi, Jin; Qi, Xiaojuan; Rippel, Oliver; Roth, Karsten; Sarasua, Ignacio; Schenk, Andrea; Shen, Zengming; Torres, Jordi; Wachinger, Christian; Wang, Chunliang; Weninger, Leon; Wu, Jianrong; Xu, Daguang; Yang, Xiaoping; Yu, Simon Chun-Ho; Yuan, Yading; Yue, Miao; Zhang, Liping; Cardoso, Jorge; Bakas, Spyridon; Braren, Rickmer; Heinemann, Volker; Pal, Christopher; Tang, An; Kadoury, Samuel; Soler, Luc; van Ginneken, Bram; Greenspan, Hayit; Joskowicz, Leo; Menze, Bjoern

A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays

深度学习模型能够根据胸部X光片准确预测和量化肺水肿。

Schulz, Dominik; Rasch, Sebastian; Heilmaier, Markus; Abbassi, Rami; Poszler, Alexander; Ulrich, Jörg; Steinhardt, Manuel; Kaissis, Georgios A; Schmid, Roland M; Braren, Rickmer; Lahmer, Tobias

Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification

算法透明度和可解释性措施可提高放射科医生在 BI-RADS 4 分类中的表现。

Jungmann, Friederike; Ziegelmayer, Sebastian; Lohoefer, Fabian K; Metz, Stephan; Müller-Leisse, Christina; Englmaier, Maximilian; Makowski, Marcus R; Kaissis, Georgios A; Braren, Rickmer F