Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. - Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 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 (EMBC, 2020)

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 (MICCAI (8), 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)

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)

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 (Zenodo, 2022)

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., 2023)

Whole slide image representation in bone marrow cytology. - Youqing Mu; Hamid R. Tizhoosh; Taher Dehkharghanian; Clinton J. V. Campbell (Comput. Biol. Medicine, 2023)