Milad Sikaroudi

According to our database, Milad Sikaroudi authored at least 12 papers between 2020 and 2023.

Collaborative distances:

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

2023

Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images.

Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh

IEEE Trans. Medical Imaging, 2023

Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'.

Milad Sikaroudi, Mehdi Afshari, Abubakr Shafique, Shivam Kalra, Hamid R. Tizhoosh

CoRR, 2023

ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals.

Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Hospital-Agnostic Image Representation Learning in Digital Pathology.

Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.

Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh

Medical Image Anal., 2021

Magnification Generalization For Histopathology Image Embedding.

Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches.

Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks.

Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem.

Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces.

Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study.

Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh

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