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2020 – today
- 2024
[c19]Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini:
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images. CVPR Workshops 2024: 6894-6903- [i24]Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini:
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images. CoRR abs/2404.13222 (2024) - [i23]Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini:
AdaFisher: Adaptive Second Order Optimization via Fisher Information. CoRR abs/2405.16397 (2024) - [i22]Ali Nasiri-Sarvi, Mahdi S. Hosseini, Hassan Rivaz:
Vision Mamba for Classification of Breast Ultrasound Images. CoRR abs/2407.03552 (2024) - 2023
- [c18]Arash Ahmadian, Louis S. P. Liu, Yue Fei, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
Pseudo-Inverted Bottleneck Convolution for Darts Search Space. ICASSP 2023: 1-5 - [i21]Arash Ahmadian, Yue Fei, Louis S. P. Liu, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space. CoRR abs/2301.01286 (2023) - [i20]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:
Computational Pathology: A Survey Review and The Way Forward. CoRR abs/2304.05482 (2023) - [i19]Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
End-to-End Supervised Multilabel Contrastive Learning. CoRR abs/2307.03967 (2023) - 2022
- [c17]Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis:
Exploiting Explainable Metrics for Augmented SGD. CVPR 2022: 10286-10296 - [c16]Ryan Zhang, Jiadai Zhu, Stephen Yang
, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis:
Histokt: Cross Knowledge Transfer in Computational Pathology. ICASSP 2022: 1276-1280 - [i18]Ryan Zhang, Jiadai Zhu, Stephen Yang, Mahdi S. Hosseini, Angelo Genovese, Lina Chen, Corwyn Rowsell, Savvas Damaskinos, Sonal Varma, Konstantinos N. Plataniotis:
HistoKT: Cross Knowledge Transfer in Computational Pathology. CoRR abs/2201.11246 (2022) - [i17]Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis:
Exploiting Explainable Metrics for Augmented SGD. CoRR abs/2203.16723 (2022) - 2021
- [j8]Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains. Int. J. Comput. Vis. 129(2): 361-384 (2021) - [c15]Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti:
Histopathological Transfer Learning for Acute Lymphoblastic Leukemia Detection. CIVEMSA 2021: 1-6 - [c14]Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 Emissions From Computer Vision. CVPR Workshops 2021: 2311-2317 - [c13]Angelo Genovese, Mahdi S. Hosseini, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti:
Acute Lymphoblastic Leukemia Detection Based on Adaptive Unsharpening and Deep Learning. ICASSP 2021: 1205-1209 - [c12]Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. ICCVW 2021: 326-335 - [c11]Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. ICCVW 2021: 572-581 - [c10]Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. ICMLA 2021: 998-1003 - [c9]Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
In Search of Probeable Generalization Measures. ICMLA 2021: 1106-1111 - [i16]Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 emissions from Computer Vision. CoRR abs/2104.08702 (2021) - [i15]Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis:
CONet: Channel Optimization for Convolutional Neural Networks. CoRR abs/2108.06822 (2021) - [i14]Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang:
Probeable DARTS with Application to Computational Pathology. CoRR abs/2108.06859 (2021) - [i13]Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. CoRR abs/2110.06830 (2021) - [i12]Jonathan Jaegerman, Khalil Damouni, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
In Search of Probeable Generalization Measures. CoRR abs/2110.12259 (2021) - [i11]Mathieu Tuli, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Towards Robust and Automatic Hyper-Parameter Tunning. CoRR abs/2111.14056 (2021) - [i10]Andre Fu, Justin Tran, Andy Xie, Jonathan Spraggett, Elisa Ding, Chang Won Lee, Kanav Singla, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
NoFADE: Analyzing Diminishing Returns on CO2 Investment. CoRR abs/2111.14059 (2021) - [i9]Andre Fu, Elisa Ding, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
P4AI: Approaching AI Ethics through Principlism. CoRR abs/2111.14062 (2021) - 2020
- [j7]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Convolutional Deblurring for Natural Imaging. IEEE Trans. Image Process. 29: 250-264 (2020) - [j6]Mahdi S. Hosseini, Jasper A. Z. Brawley-Hayes, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Savvas Damaskinos:
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology. IEEE Trans. Medical Imaging 39(1): 62-74 (2020) - [c8]Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis:
On Transferability of Histological Tissue Labels in Computational Pathology. ECCV (29) 2020: 453-469 - [c7]Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang:
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology. MICCAI (5) 2020: 403-413 - [i8]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
AdaS: Adaptive Scheduling of Stochastic Gradients. CoRR abs/2006.06587 (2020) - [i7]Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang:
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology. CoRR abs/2007.06565 (2020)
2010 – 2019
- 2019
- [j5]Mahdi S. Hosseini, Yueyang Zhang, Konstantinos N. Plataniotis:
Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment. IEEE Trans. Image Process. 28(9): 4510-4525 (2019) - [c6]Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos:
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning. CVPR 2019: 11747-11756 - [c5]Lyndon Chan, Mahdi S. Hosseini, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos:
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images. ICCV 2019: 10661-10670 - [i6]Mahdi S. Hosseini, Alfred Chen, Konstantinos N. Plataniotis:
On the Closed Form Expression of Elementary Symmetric Polynomials and the Inverse of Vandermonde Matrix. CoRR abs/1909.08155 (2019) - [i5]Lyndon Chan, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains. CoRR abs/1912.11186 (2019) - 2018
- [c4]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Image Sharpness Metric Based on Maxpol Convolution Kernels. ICIP 2018: 296-300 - [i4]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Convolutional Deblurring for Natural Imaging. CoRR abs/1810.10725 (2018) - [i3]Mahdi S. Hosseini, Yueyang Zhang, Lyndon Chan, Konstantinos N. Plataniotis, Jasper A. Z. Brawley-Hayes, Savvas Damaskinos:
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology. CoRR abs/1811.06038 (2018) - 2017
- [j4]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Finite Differences in Forward and Inverse Imaging Problems: MaxPol Design. SIAM J. Imaging Sci. 10(4): 1963-1996 (2017) - [j3]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Derivative Kernels: Numerics and Applications. IEEE Trans. Image Process. 26(10): 4596-4611 (2017) - 2015
- [c3]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Sparse tensor recovery via combined first and second order high-accuracy total variation. ICIP 2015: 701-705 - 2014
- [j2]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
High-Accuracy Total Variation With Application to Compressed Video Sensing. IEEE Trans. Image Process. 23(9): 3869-3884 (2014) - 2013
- [i2]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
High-Accuracy Total Variation for Compressed Video Sensing. CoRR abs/1309.0270 (2013) - 2012
- [j1]Mahdi S. Hosseini, Siavash Fazeli-Dehkordy, Konstantinos N. Plataniotis:
Tractable Bound for Spherical Section Property in the Presence of Side-Information. IEEE Signal Process. Lett. 19(8): 519-522 (2012) - [c2]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Temporal derivatives in compressed video sensing. MMSP 2012: 31-36 - [i1]Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Compressed Sensing Recoverability In Imaging Modalities. CoRR abs/1212.1187 (2012)
2000 – 2009
- 2009
- [c1]Mahdi S. Hosseini, Oleg V. Michailovich:
Derivative compressive sampling with application to phase unwrapping. EUSIPCO 2009: 115-119
Coauthor Index
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last updated on 2024-10-11 17:31 CEST by the dblp team
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