Mahdi S. Hosseini

According to our database, Mahdi S. Hosseini authored at least 38 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Vision Mamba for Classification of Breast Ultrasound Images.

Ali Nasiri-Sarvi, Mahdi S. Hosseini, Hassan Rivaz

CoRR, 2024

AdaFisher: Adaptive Second Order Optimization via Fisher Information.

Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini

CoRR, 2024

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images.

Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

End-to-End Supervised Multilabel Contrastive Learning.

Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini

CoRR, 2023

Computational Pathology: A Survey Review and The Way Forward.

Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis

CoRR, 2023

Pseudo-Inverted Bottleneck Convolution for Darts Search Space.

Arash Ahmadian, Louis S. P. Liu, Yue Fei, Konstantinos N. Plataniotis, Mahdi S. Hosseini

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Histokt: Cross Knowledge Transfer in Computational Pathology.

Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Explainable Metrics for Augmented SGD.

Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains.

Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Int. J. Comput. Vis., 2021

P4AI: Approaching AI Ethics through Principlism.

Andre Fu, Elisa Ding, Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2021

NoFADE: Analyzing Diminishing Returns on CO2 Investment.

Andre Fu, Justin Tran, Andy Xie, Jonathan Spraggett, Elisa Ding, Chang Won Lee, Kanav Singla, Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2021

Towards Robust and Automatic Hyper-Parameter Tunning.

Mathieu Tuli, Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2021

CONetV2: Efficient Auto-Channel Size Optimization for CNNs.

Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

In Search of Probeable Generalization Measures.

Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Probeable DARTS with Application to Computational Pathology.

Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

CONet: Channel Optimization for Convolutional Neural Networks.

Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Acute Lymphoblastic Leukemia Detection Based on Adaptive Unsharpening and Deep Learning.

Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti

Proceedings of the IEEE International Conference on Acoustics, 2021

Reconsidering CO2 Emissions From Computer Vision.

Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Histopathological Transfer Learning for Acute Lymphoblastic Leukemia Detection.

Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2021

2020

Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology.

Mahdi S. Hosseini, Jasper A. Z. Brawley-Hayes, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Savvas Damaskinos

IEEE Trans. Medical Imaging, 2020

Convolutional Deblurring for Natural Imaging.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

IEEE Trans. Image Process., 2020

AdaS: Adaptive Scheduling of Stochastic Gradients.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2020

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology.

Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

On Transferability of Histological Tissue Labels in Computational Pathology.

Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment.

Mahdi S. Hosseini, Yueyang Zhang, Konstantinos N. Plataniotis

IEEE Trans. Image Process., 2019

On the Closed Form Expression of Elementary Symmetric Polynomials and the Inverse of Vandermonde Matrix.

Mahdi S. Hosseini, Alfred Chen, Konstantinos N. Plataniotis

CoRR, 2019

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images.

Lyndon Chan, Mahdi S. Hosseini, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning.

Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Image Sharpness Metric Based on Maxpol Convolution Kernels.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Derivative Kernels: Numerics and Applications.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

IEEE Trans. Image Process., 2017

Finite Differences in Forward and Inverse Imaging Problems: MaxPol Design.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

SIAM J. Imaging Sci., 2017

2015

Sparse tensor recovery via combined first and second order high-accuracy total variation.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

High-Accuracy Total Variation With Application to Compressed Video Sensing.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

IEEE Trans. Image Process., 2014

2013

High-Accuracy Total Variation for Compressed Video Sensing.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2013

2012

Tractable Bound for Spherical Section Property in the Presence of Side-Information.

Mahdi S. Hosseini, Siavash Fazeli-Dehkordy, Konstantinos N. Plataniotis

IEEE Signal Process. Lett., 2012

Compressed Sensing Recoverability In Imaging Modalities

Mahdi S. Hosseini, Konstantinos N. Plataniotis

CoRR, 2012

Temporal derivatives in compressed video sensing.

Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 14th IEEE International Workshop on Multimedia Signal Processing, 2012

2009

Derivative compressive sampling with application to phase unwrapping.

Mahdi S. Hosseini, Oleg V. Michailovich

Proceedings of the 17th European Signal Processing Conference, 2009