Kanan, Christopher

Continual lifelong learning with neural networks: A review

Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019) · Neural Networks

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 3,117

Measuring Catastrophic Forgetting in Neural Networks

Kemker, R., McClure, M., Abitino, A., Hayes, T., & Kanan, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 672

A foundation model for clinical-grade computational pathology and rare cancers detection

Vorontsov, E., Bozkurt, A., Casson, A., Shaikovski, G., Zelechowski, M., Severson, K., Zimmermann, E., Hall, J., Tenenholtz, N., Fusi, N., et al. (2024) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 572

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

Kemker, R., Salvaggio, C., & Kanan, C. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 558

REMIND Your Neural Network to Prevent Catastrophic Forgetting

Hayes, T. L., Kafle, K., Shrestha, R., Acharya, M., & Kanan, C. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 268

Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

Raciti, P., Sue, J., Ceballos, R., Godrich, R., Kunz, J. D., Kapur, S., Reuter, V., Grady, L., Kanan, C., Klimstra, D. S., et al. (2020) · Modern Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 186

Independent real‐world application of a clinical‐grade automated prostate cancer detection system

da Silva, L. M., Pereira, E. M., Salles, P. G., Godrich, R., Ceballos, R., Kunz, J. D., Casson, A., Viret, J., Chandarlapaty, S., Ferreira, C. G., et al. (2021) · The Journal of Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 175

Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

Hayes, T. L., & Kanan, C. (2019) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 150

Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection

Raciti, P., Sue, J., Retamero, J. A., Ceballos, R., Godrich, R., Kunz, J. D., Casson, A., Thiagarajan, D., Ebrahimzadeh, Z., Viret, J., et al. (2023) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 119

Replay in Deep Learning: Current Approaches and Missing Biological Elements

Hayes, T. L., Krishnan, G. P., Bazhenov, M., Siegelmann, H. T., Sejnowski, T. J., & Kanan, C. (2021) · Neural Computation

Domain Adaptation and Few-Shot LearningMemory and Neural Mechanisms

Cited by 106

TallyQA: Answering Complex Counting Questions

Acharya, M., Kafle, K., & Kanan, C. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 69

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Shaikovski, G., Casson, A., Severson, K., Zimmermann, E., Wang, Y. K., Kunz, J. D., Retamero, J. A., Oakley, G., Klimstra, D., Kanan, C., et al. (2024) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 22

An Investigation of Critical Issues in Bias Mitigation Techniques

Shrestha, R., Kafle, K., & Kanan, C. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Ethics and Social Impacts of AIDomain Adaptation and Few-Shot Learning

Cited by 22