Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Bozorgpour A"'
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Autor:
Bassi, Pedro R. A. S., Li, Wenxuan, Tang, Yucheng, Isensee, Fabian, Wang, Zifu, Chen, Jieneng, Chou, Yu-Cheng, Kirchhoff, Yannick, Rokuss, Maximilian, Huang, Ziyan, Ye, Jin, He, Junjun, Wald, Tassilo, Ulrich, Constantin, Baumgartner, Michael, Roy, Saikat, Maier-Hein, Klaus H., Jaeger, Paul, Ye, Yiwen, Xie, Yutong, Zhang, Jianpeng, Chen, Ziyang, Xia, Yong, Xing, Zhaohu, Zhu, Lei, Sadegheih, Yousef, Bozorgpour, Afshin, Kumari, Pratibha, Azad, Reza, Merhof, Dorit, Shi, Pengcheng, Ma, Ting, Du, Yuxin, Bai, Fan, Huang, Tiejun, Zhao, Bo, Wang, Haonan, Li, Xiaomeng, Gu, Hanxue, Dong, Haoyu, Yang, Jichen, Mazurowski, Maciej A., Gupta, Saumya, Wu, Linshan, Zhuang, Jiaxin, Chen, Hao, Roth, Holger, Xu, Daguang, Blaschko, Matthew B., Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan L., Zhou, Zongwei
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a con
Externí odkaz:
http://arxiv.org/abs/2411.03670
Autor:
Kolahi, Sina Ghorbani, Chaharsooghi, Seyed Kamal, Khatibi, Toktam, Bozorgpour, Afshin, Azad, Reza, Heidari, Moein, Hacihaliloglu, Ilker, Merhof, Dorit
Medical image segmentation involves identifying and separating object instances in a medical image to delineate various tissues and structures, a task complicated by the significant variations in size, shape, and density of these features. Convolutio
Externí odkaz:
http://arxiv.org/abs/2407.21640
Physics-inspired Generative Models (GMs), in particular Diffusion Models (DMs) and Poisson Flow Models (PFMs), enhance Bayesian methods and promise great utility in medical imaging. This review examines the transformative role of such generative meth
Externí odkaz:
http://arxiv.org/abs/2407.10856
Autor:
Heidari, Moein, Kolahi, Sina Ghorbani, Karimijafarbigloo, Sanaz, Azad, Bobby, Bozorgpour, Afshin, Hatami, Soheila, Azad, Reza, Diba, Ali, Bagci, Ulas, Merhof, Dorit, Hacihaliloglu, Ilker
Sequence modeling plays a vital role across various domains, with recurrent neural networks being historically the predominant method of performing these tasks. However, the emergence of transformers has altered this paradigm due to their superior pe
Externí odkaz:
http://arxiv.org/abs/2406.03430
The rise of Transformer architectures has revolutionized medical image segmentation, leading to hybrid models that combine Convolutional Neural Networks (CNNs) and Transformers for enhanced accuracy. However, these models often suffer from increased
Externí odkaz:
http://arxiv.org/abs/2404.05102
Autor:
Heidari, Moein, Azad, Reza, Kolahi, Sina Ghorbani, Arimond, René, Niggemeier, Leon, Sulaiman, Alaa, Bozorgpour, Afshin, Aghdam, Ehsan Khodapanah, Kazerouni, Amirhossein, Hacihaliloglu, Ilker, Merhof, Dorit
Intrigued by the inherent ability of the human visual system to identify salient regions in complex scenes, attention mechanisms have been seamlessly integrated into various Computer Vision (CV) tasks. Building upon this paradigm, Vision Transformer
Externí odkaz:
http://arxiv.org/abs/2403.19882
Autor:
Kumari, Pratibha, Chauhan, Joohi, Bozorgpour, Afshin, Huang, Boqiang, Azad, Reza, Merhof, Dorit
Medical imaging analysis has witnessed remarkable advancements even surpassing human-level performance in recent years, driven by the rapid development of advanced deep-learning algorithms. However, when the inference dataset slightly differs from wh
Externí odkaz:
http://arxiv.org/abs/2312.17004
Accurate and automated segmentation of intervertebral discs (IVDs) in medical images is crucial for assessing spine-related disorders, such as osteoporosis, vertebral fractures, or IVD herniation. We present HCA-Net, a novel contextual attention netw
Externí odkaz:
http://arxiv.org/abs/2311.12486
Autor:
Bozorgpour, Reza
With the rapid advancement of computational techniques, Molecular Dynamics (MD) simulations have emerged as powerful tools in biomedical research, enabling in-depth investigations of biological systems at the atomic level. Among the diverse range of
Externí odkaz:
http://arxiv.org/abs/2311.13000
Cancer is a complex disease that is characterized by uncontrolled growth and division of cells. It involves a complex interplay between genetic and environmental factors that lead to the initiation and progression of tumors. Recent advances in molecu
Externí odkaz:
http://arxiv.org/abs/2310.19950