Search Results - "Ashtari, Pooya"

New multiple sclerosis lesion segmentation and detection using pre-activation U-Net by Ashtari, Pooya, Barile, Berardino, Van Huffel, Sabine, Sappey-Marinier, Dominique

“…Automated segmentation of new multiple sclerosis (MS) lesions in 3D MRI data is an essential prerequisite for monitoring and quantifying MS progression. Manual…”
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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome by Barile, Berardino, Ashtari, Pooya, Stamile, Claudio, Marzullo, Aldo, Maes, Frederik, Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique

“…The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical…”
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Supervised fuzzy partitioning by Ashtari, Pooya, Nateghi Haredasht, Fateme, Beigy, Hamid

“…•A framework is presented, extending k-means clustering to be applicable to supervised tasks.•We adopt an entropy approach to fuzzification and feature…”
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Factorizer: A scalable interpretable approach to context modeling for medical image segmentation by Ashtari, Pooya, Sima, Diana M., De Lathauwer, Lieven, Sappey-Marinier, Dominique, Maes, Frederik, Van Huffel, Sabine

“…Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is crucial for various clinical purposes…”
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Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency by Naseri, Mostafa, Ashtari, Pooya, Seif, Mohamed, De Poorter, Eli, Poor, H. Vincent, Shahid, Adnan

“…In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This…”
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Quantization-free Lossy Image Compression Using Integer Matrix Factorization by 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…”
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Supervised Fuzzy Partitioning by Ashtari, Pooya, Haredasht, Fateme Nateghi, Beigy, Hamid

“…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…”
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Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation by Ashtari, Pooya, Sima, Diana M, De Lathauwer, Lieven, Sappey-Marinier, Dominique, Maes, Frederik, Van Huffel, Sabine

“…Medical Image Analysis 84 (2023) 102706 Convolutional Neural Networks (CNNs) with U-shaped architectures have dominated medical image segmentation, which is…”
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Classification of EEG signals using the Spatio-temporal feature selection via the elastic net by Noei, Shahryar, Ashtari, Pooya, Jahed, Mehran, Vahdat, Bijan Vosoughi

“…Effective classification of motor imagery electroencephalograph (EEG) data is an important challenge. Spatial filtering such as Common Spatial Pattern (CSP)…”
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A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge by 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…”
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