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pro vyhledávání: '"Ashtari, Pooya"'
Autor:
Ashtari, Pooya, Behmandpoor, Pourya, Haredasht, Fateme Nateghi, Chen, Jonathan H., Patrinos, Panagiotis, Van Huffel, Sabine
Lossy image compression is essential for efficient transmission and storage. Traditional compression methods mainly rely on discrete cosine transform (DCT) or singular value decomposition (SVD), both of which represent image data in continuous domain
Externí odkaz:
http://arxiv.org/abs/2408.12691
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425
Autor:
Ashtari, Pooya, Sima, Diana M., De Lathauwer, Lieven, Sappey-Marinier, Dominique, Maes, Frederik, Van Huffel, Sabine
Publikováno v:
Medical Image Analysis 84 (2023) 102706
Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is crucial for various clinical purposes. However, the inherent locality of convolution makes CNNs fail to fully exploit global context,
Externí odkaz:
http://arxiv.org/abs/2202.12295
Autor:
Ashtari, Pooya, Sima, Diana M., De Lathauwer, Lieven, Sappey-Marinier, Dominique, Maes, Frederik, Van Huffel, Sabine
Publikováno v:
In Medical Image Analysis February 2023 84
Centroid-based methods including k-means and fuzzy c-means are known as effective and easy-to-implement approaches to clustering purposes in many applications. However, these algorithms cannot be directly applied to supervised tasks. This paper thus
Externí odkaz:
http://arxiv.org/abs/1806.06124
Publikováno v:
In Pattern Recognition January 2020 97
Akademický článek
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Autor:
Barile B; CREATIS (UMR 5220 CNRS & U1294 INSERM), Université Claude Bernard Lyon1, INSA-Lyon, Université de Lyon, Lyon, France.; Department of Electrical Engineering, KU Leuven, Leuven, Belgium., Ashtari P; Department of Electrical Engineering, KU Leuven, Leuven, Belgium., Stamile C; BIP SpA, Milan, Italy., Marzullo A; Department of Mathematics and Computer Science, University of Calabria, Rende, Italy., Maes F; Department of Electrical Engineering, KU Leuven, Leuven, Belgium., Durand-Dubief F; CREATIS (UMR 5220 CNRS & U1294 INSERM), Université Claude Bernard Lyon1, INSA-Lyon, Université de Lyon, Lyon, France.; Hôpital Neurologique, Service de Neurologie, Hospices Civils de Lyon, Bron, France., Van Huffel S; Department of Electrical Engineering, KU Leuven, Leuven, Belgium., Sappey-Marinier D; CREATIS (UMR 5220 CNRS & U1294 INSERM), Université Claude Bernard Lyon1, INSA-Lyon, Université de Lyon, Lyon, France.; CERMEP-Imagerie du Vivant, Université de Lyon, Lyon, France.
Publikováno v:
Frontiers in robotics and AI [Front Robot AI] 2022 Oct 13; Vol. 9, pp. 926255. Date of Electronic Publication: 2022 Oct 13 (Print Publication: 2022).