Sean R. Moore

According to our database, Sean R. Moore authored at least 6 papers between 2019 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach.

Kamran Kowsari, Rasoul Sali, Lubaina Ehsan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

Inf., 2020

Self-attentive Adversarial Stain Normalization.

Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images.

Rasoul Sali, Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice C. Amadi, Lori Holtz, Syed Asad Ali, Sean R. Moore, Sana Syed, Donald E. Brown

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019

Self-Attentive Adversarial Stain Normalization.

Aman Shrivastava, William Adorno, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed

CoRR, 2019

Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks.

Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

CoRR, 2019

Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease.

Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium N. Khan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019