Lukas Ruff
Technische Universität Berlin
H-index: 13
Europe-Germany
Top articles of Lukas Ruff
TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading
European Journal of Cancer
2024/1/1
AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients
Cancer Research
2024/3/22
Neoadjuvant chemotherapy and radiation shape the local and regional adaptive antitumor immune response in lung squamous cell carcinomas
Cancer Research
2024/3/22
Timo Milbich
H-Index: 6
Lukas Ruff
H-Index: 6
Erklärbare Künstliche Intelligenz in der Pathologie
2024/2/5
Toward explainable artificial intelligence for precision pathology
2024/1/24
RudolfV: A Foundation Model by Pathologists for Pathologists
arXiv preprint arXiv:2401.04079
2024/1/8
970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort
2023/11/1
1283 A novel, scalable deep learning-based approach to automated quality control of multiplex immunofluorescence images
2023/11/1
1276 Leveraging artificial intelligence (AI) models delineating tumor vs immune cell expression for scalable biomarker analysis of clinical trial samples: a digital image …
2023/11/1
Lukas Ruff
H-Index: 6
Maximilian Alber
H-Index: 9
AI powered quantification of mitotic rate in H&E stained tissue detects significant differences between treatment groups of preclinical pancreas cancer xenografts
Cancer Research
2023/4/4
Cell cycle arrest status predicted from H&E stained images using deep learning
Cancer Research
2023/4/4
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides
arXiv preprint arXiv:2302.01813
2023/2/3
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Advances in Neural Information Processing Systems
2024/2/13
High-resolution molecular atlas of a lung tumor in 3D
bioRxiv
2023
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Transactions on Machine Learning Research (TMLR)
2022/5/23
From Clustering to Cluster Explanations via Neural Networks
IEEE Transactions on Neural Networks and Learning Systems
2024/2
Rethinking Assumptions in Deep Anomaly Detection
arXiv preprint arXiv:2006.00339
2020/5/30
Transfer-Based Semantic Anomaly Detection
2021/7/1
Lukas Ruff
H-Index: 6
Robert A Vandermeulen
H-Index: 9
Explainable Deep One-Class Classification
2021/5
A Unifying Review of Deep and Shallow Anomaly Detection
Proceedings of the IEEE
2021/2
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