未登录.png)
分享.png)
收藏Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images揭示模型不可知的多尺度分析的力量，以增强乳腺癌组织病理学图像中的人工智能模型
Tsiknakis, Nikos; Manikis, Georgios; Tzoras, Evangelos; Salgkamis, Dimitrios; Vidal, Joan Martinez; Wang, Kang; Zaridis, Dimitris; Sifakis, Emmanouil; Zerdes, Ioannis; Bergh, Jonas; Hartman, Johan; Acs, Balazs; Marias, Kostas; Foukakis, Theodoros 分享 收藏 分享 收藏 Multimodal learning predictor of HER2-positive breast cancer therapy response in the randomized PREDIX HER2 trialWang, Kang; Zhu, Yajing; Zerdes, Ioannis; Sifakis, Emmanouil; Manikis, Georgios; Salgkamis, Dimitrios; Tsiknakis, Nikolaos; Harbers, Luuk; Crosetto, Nicola; Bergh, Jonas; Matikas, Alexios; Hatschek, Thomas; Foukakis, Theodoros 分享 收藏 Multiomic profiling reveals predictive molecular characteristics of response to neoadjuvant antibody-drug conjugate versus chemotherapy and dual HER2 blockade in HER2 positive breast cancerFoukakis, T.; Wang, K.; Zerdes, I.; Zhu, Y.; Sifakis, E.; Tsiknakis, N.; Manikis, G.; Salgkamis, D.; Harbers, L.; Bergh, J.; Johansson, H.; Crosetto, N.; Lehtio, J.; Matikas, A.; Hatschek, T. 分享 收藏 Machine learning-based characterization of tumor-immune microenvironment at a spatial and multiplexed resolution in early breast cancer: A sub-study of the EORTC 10994/BIG 1-00 randomized phase III trial with long-term follow-up早期乳腺癌中基于机器学习的肿瘤免疫微环境的空间和多重分辨率表征: EORTC 10994/BIG 1-00随机III期试验的长期随访子研究Zerdes, I.; Matikas, A.; Mezheyeuski, A.; Acs, B.; Johansson, H.; Manikis, G.; Boyaci, C.; Boman, C. E.; Poncet, C.; Ignatiadis, M.; Bai, Y.; Rimm, D.; MacGrogan, G.; Cameron, D. A.; Bergh, J.; Bonnefoi, H.; Foukakis, T. 分享 收藏 Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning-Driven Clinical Decision Support ToolManikis, Georgios C.; Simos, Nicholas J.; Kourou, Konstantina; Kondylakis, Haridimos; Poikonen-Saksela, Paula; Mazzocco, Ketti; Pat-Horenczyk, Ruth; Sousa, Berta; Oliveira-Maia, Albino J.; Mattson, Johanna; Roziner, Ilan; Marzorati, Chiara; Marias, Kostas; Nuutinen, Mikko; Karademas, Evangelos; Fotiadis, Dimitrios 分享 收藏 Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective studyKourou, Konstantina; Manikis, Georgios; Mylona, Eugenia; Poikonen-Saksela, Paula; Mazzocco, Ketti; Pat-Horenczyk, Ruth; Sousa, Berta; Oliveira-Maia, Albino J.; Mattson, Johanna; Roziner, Ilan; Pettini, Greta; Kondylakis, Haridimos; Marias, Kostas; Nuutinen, Mikko; Karademas, Evangelos; Simos, Panagiotis; Fotiadis, Dimitrios I. 分享 收藏 Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments机器学习算法的帮助可以改善临床医生对乳腺癌治疗期间患者生活质量的预测Nuutinen, Mikko; Hiltunen, Anna-Maria; Korhonen, Sonja; Haavisto, Ira; Poikonen-Saksela, Paula; Mattson, Johanna; Manikis, Georgios; Kondylakis, Haridimos; Simos, Panagiotis; Mazzocco, Ketti; Pat-Horenczyk, Ruth; Sousa, Berta; Cardoso, Fatima; Manica, Isabel; Kudel, Ian; Leskela, Riikka-Leena 分享 收藏 分享 收藏 分享 收藏 Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip影像组学和机器学习可以区分暂时性骨质疏松症和髋部缺血性坏死Klontzas, Michail E.; Manikis, Georgios C.; Nikiforaki, Katerina; Vassalou, Evangelia E.; Spanakis, Konstantinos; Stathis, Ioannis; Kakkos, George A.; Matthaiou, Nikolas; Zibis, Aristeidis H.; Marias, Kostas; Karantanas, Apostolos H. 分享 收藏 Deep learning for diabetic retinopathy detection and classification based on fundus images: A review基于眼底图像的深度学习糖尿病视网膜病变检测与分类研究进展Tsiknakis, Nikos; Theodoropoulos, Dimitris; Manikis, Georgios; Ktistakis, Emmanouil; Boutsora, Ourania; Berto, Alexa; Scarpa, Fabio; Scarpa, Alberto; Fotiadis, Dimitrios, I; Marias, Kostas 分享 收藏 分享 收藏 A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects基于机器学习的管道，用于将医学，社会人口统计学，生活方式和自我报告的心理特征建模为乳腺癌诊断后精神卫生结果的预测指标: 定义弹性效应的初步努力Kourou, Konstantina; Manikis, Georgios; Poikonen-Saksela, Paula; Mazzocco, Ketti; Pat-Horenczyk, Ruth; Sousa, Berta; Oliveira-Maia, Albino J.; Mattson, Johanna; Roziner, Ilan; Pettini, Greta; Kondylakis, Haridimos; Marias, Kostas; Karademas, Evangelos; Simos, Panagiotis; Fotiadis, Dimitrios, I 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 
.png){kind=icon}
.png){kind=icon}
.png)
ANNALS OF ONCOLOGY.png)
OAAI