Taher Dehkharghanian

According to our database, Taher Dehkharghanian authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Whole slide image representation in bone marrow cytology.

Youqing Mu, Hamid R. Tizhoosh, Taher Dehkharghanian, Clinton J. V. Campbell

Comput. Biol. Medicine, November, 2023

Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images.

Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh

IEEE Trans. Evol. Comput., February, 2023

2022

Automated bone marrow cytology using deep learning to generate a histogram of cell types.

Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell

Dataset, March, 2022

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology.

Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh

Artif. Intell. Medicine, 2022

2021

Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology.

Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian, Catherine Ross, Monalisa Sur, Ronan Foley, Hamid R. Tizhoosh, Clinton J. V. Campbell

CoRR, 2021

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images.

Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Classifying Pneumonia among Chest X-Rays Using Transfer Learning.

Abdullah Irfan, Akash L. Adivishnu, Antonio Sze-To, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset.

Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020