H. R. Tizhoosh

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

Mar 02, 2023
Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, H. R. Tizhoosh

Figure 2 for Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images

Figure 3 for Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images

Figure 4 for Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images

* IEEE Transactions on Evolutionary Computation, vol. 27, no. 1, pp. 52-66, Feb. 2023

Access Paper or Ask Questions

Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search

Aug 29, 2022
Sobhan Hemati, Shivam Kalra, Morteza Babaie, H. R. Tizhoosh

Figure 2 for Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search

Figure 3 for Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search

Figure 4 for Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search

Access Paper or Ask Questions

Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images

Aug 21, 2022
S. Maryam Hosseini, Milad Sikaroudi, Morteza Babaei, H. R. Tizhoosh

Figure 2 for Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images

Figure 3 for Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images

Figure 4 for Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images

* Accepted at MICCAI 2022 Workshop on Distributed, Collaborative and Federated Learning

Access Paper or Ask Questions

Monitoring Shortcut Learning using Mutual Information

Jun 27, 2022
Mohammed Adnan, Yani Ioannou, Chuan-Yung Tsai, Angus Galloway, H. R. Tizhoosh, Graham W. Taylor

Figure 2 for Monitoring Shortcut Learning using Mutual Information

Figure 3 for Monitoring Shortcut Learning using Mutual Information

Figure 4 for Monitoring Shortcut Learning using Mutual Information

* Accepted at ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability

Access Paper or Ask Questions

Hospital-Agnostic Image Representation Learning in Digital Pathology

Apr 05, 2022
Milad Sikaroudi, Shahryar Rahnamayan, H. R. Tizhoosh

Figure 2 for Hospital-Agnostic Image Representation Learning in Digital Pathology

* Accepted for presentation at the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22)

Access Paper or Ask Questions

Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification

Mar 26, 2022
Amir Safarpoor, Jason D. Hipp, H. R. Tizhoosh

Figure 2 for Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification

Figure 3 for Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification

Figure 4 for Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification

Access Paper or Ask Questions

Gram Barcodes for Histopathology Tissue Texture Retrieval

Nov 28, 2021
Shalev Lifshitz, Abtin Riasatian, H. R. Tizhoosh

Figure 2 for Gram Barcodes for Histopathology Tissue Texture Retrieval

Figure 3 for Gram Barcodes for Histopathology Tissue Texture Retrieval

Access Paper or Ask Questions

Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing

Oct 01, 2021
Sobhan Hemati, H. R. Tizhoosh

Figure 2 for Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing

Figure 3 for Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing

Figure 4 for Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing

* Under revision on Pattern Recognition Letter

Access Paper or Ask Questions

Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks

Aug 04, 2021
Nitish Bhatt, David Ramon Prados, Nedim Hodzic, Christos Karanassios, H. R. Tizhoosh

Figure 2 for Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks

Figure 3 for Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks

* Accepted in EMBC 2021: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Access Paper or Ask Questions

Automatic Multi-Stain Registration of Whole Slide Images in Histopathology

Jul 29, 2021
Abubakr Shafique, Morteza Babaie, Mahjabin Sajadi, Adrian Batten, Soma Skdar, H. R. Tizhoosh

Figure 2 for Automatic Multi-Stain Registration of Whole Slide Images in Histopathology

Figure 3 for Automatic Multi-Stain Registration of Whole Slide Images in Histopathology

* Accepted in EMBC 2021 : 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Access Paper or Ask Questions