Martel, Anne L.

Deep neural network models for computational histopathology: A survey

Srinidhi, C. L., Ciga, O., & Martel, A. L. (2021) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 749

Loss odyssey in medical image segmentation

Ma, J., Chen, J., Ng, M., Huang, R., Li, Y., Li, C., Yang, X., & Martel, A. L. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 662

Sample-size determination methodologies for machine learning in medical imaging research: a systematic review

Balki, I., Amirabadi, A., Levman, J., Martel, A. L., Emersic, Z., Meden, B., Garcia-Pedrero, A., Ramirez, S. C., Kong, D., Moody, A. R., et al. (2019) · Canadian Association of Radiologists Journal

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 299

Self supervised contrastive learning for digital histopathology

Ciga, O., Xu, T., & Martel, A. L. (2022) · Machine Learning with Applications

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 294

Understanding metric-related pitfalls in image analysis validation

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 241

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

Peikari, M., Salama, S., Nofech-Mozes, S., & Martel, A. L. (2018) · Scientific Reports

AI in cancer detectionMachine Learning and Algorithms

Cited by 161

Self-supervised driven consistency training for annotation efficient histopathology image analysis

Srinidhi, C. L., Kim, S. W., Chen, F.-D., & Martel, A. L. (2022) · Medical Image Analysis

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 116

An Image Analysis Resource for Cancer Research: PIIP—Pathology Image Informatics Platform for Visualization, Analysis, and Management

Martel, A. L., Hosseinzadeh, D., Senaras, C., Zhou, Y., Yazdanpanah, A., Shojaii, R., Patterson, E. S., Madabhushi, A., & Gurcan, M. N. (2017) · Cancer Research

AI in cancer detectionCell Image Analysis Techniques

Cited by 63

Metrics reloaded: Recommendations for image analysis validation

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M. D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., et al. (2022) · arXiv

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 59

BIAS: Transparent reporting of biomedical image analysis challenges

Maier-Hein, L., Reinke, A., Kozubek, M., Martel, A. L., Arbel, T., Eisenmann, M., Hanbury, A., Jannin, P., Müller, H., Onogur, S., et al. (2020) · Medical Image Analysis

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 9