Niethammer, Marc

A method for normalizing histology slides for quantitative analysis

Macenko, M., Niethammer, M., Marron, J. S., Borland, D., Woosley, J. T., Guan, X., Schmitt, C., & Thomas, N. E. (2009) · 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

AI in cancer detectionCell Image Analysis Techniques

Cited by 1,482

Quicksilver: Fast predictive image registration – A deep learning approach

Yang, X., Kwitt, R., Styner, M., & Niethammer, M. (2017) · NeuroImage

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 630

Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

Couture, H. D., Williams, L. A., Geradts, J., Nyante, S. J., Butler, E. N., Marron, J. S., Perou, C. M., Troester, M. A., & Niethammer, M. (2018) · npj Breast Cancer

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 327

Fast Predictive Image Registration

Yang, X., Kwitt, R., & Niethammer, M. (2016) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 127

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Xia, P., Chen, Z., Tian, J., Gong, Y., Hou, R., Xu, Y., Wu, Z., Fan, Z., Zhou, Y., Zhu, K., et al. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 32