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pro vyhledávání: '"Basaran A"'
Assessing lesions and tracking their progression over time in brain magnetic resonance (MR) images is essential for diagnosing and monitoring multiple sclerosis (MS). Machine learning models have shown promise in automating the segmentation of MS les
Externí odkaz:
http://arxiv.org/abs/2412.10946
Publikováno v:
IEEE ICRA 2024, RUNE Workshop, Yokohama, Japan
Forests offer essential resources and services to humanity, yet preserving and restoring them presents challenges, particularly due to the limited availability of actionable data, especially in hard-to-reach areas like forest canopies. Accessibility
Externí odkaz:
http://arxiv.org/abs/2410.23033
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machine learning models have demonstrated a great potential for automated MS
Externí odkaz:
http://arxiv.org/abs/2410.01766
Autor:
Yagan, M. Yaser, Kayraklik, Sefa, Kesir, Samed, Sumen, Gizem, Hokelek, Ibrahim, Basaran, Mehmet, Alexandropoulos, George C., Basar, Ertugrul, Cavdar, Cicek, Arslan, Huseyin, Gorcin, Ali
Extreme natural phenomena are occurring more frequently everyday in the world, challenging, among others, the infrastructure of communication networks. For instance, the devastating earthquakes in Turkiye in early 2023 showcased that, although commun
Externí odkaz:
http://arxiv.org/abs/2408.08609
Autor:
Zhang, Xinru, Ou, Ni, Basaran, Berke Doga, Visentin, Marco, Qiao, Mengyun, Gu, Renyang, Ouyang, Cheng, Liu, Yaou, Matthew, Paul M., Ye, Chuyang, Bai, Wenjia
Brain lesion segmentation plays an essential role in neurological research and diagnosis. As brain lesions can be caused by various pathological alterations, different types of brain lesions tend to manifest with different characteristics on differen
Externí odkaz:
http://arxiv.org/abs/2405.10246
Aerial robots show significant potential for forest canopy research and environmental monitoring by providing data collection capabilities at high spatial and temporal resolutions. However, limited flight endurance hinders their application. Inspired
Externí odkaz:
http://arxiv.org/abs/2403.01890
Autor:
Basaran, Mustafa, Yüce, Tevfik Can, Keçebaş, Ali, Altın, Baha, Yaman, Yusuf Ilker, Demir, Esin, Kocabaş, Coşkun, Özdemir, Şahin K., Kocabaş, Aşkın
Nonreciprocal interactions break action-reaction symmetry in systems of interacting bodies. This process inevitably introduces non-Hermitian dynamics which with its hallmark signature called exceptional points (EPs) has been a subject of intense rese
Externí odkaz:
http://arxiv.org/abs/2402.00945
We study the problem of stereo singing voice cancellation, a subtask of music source separation, whose goal is to estimate an instrumental background from a stereo mix. We explore how to achieve performance similar to large state-of-the-art source se
Externí odkaz:
http://arxiv.org/abs/2401.12068
Autor:
Sivrioglu, Selim, Basaran, Sinan
Publikováno v:
Aircraft Engineering and Aerospace Technology, 2024, Vol. 96, Issue 10, pp. 1302-1310.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AEAT-04-2024-0118
Autor:
Basaran, Berke Doga, Zhang, Weitong, Qiao, Mengyun, Kainz, Bernhard, Matthews, Paul M., Bai, Wenjia
Data augmentation has become a de facto component of deep learning-based medical image segmentation methods. Most data augmentation techniques used in medical imaging focus on spatial and intensity transformations to improve the diversity of training
Externí odkaz:
http://arxiv.org/abs/2308.09026