Zobrazeno 1 - 10
of 398
pro vyhledávání: '"Bashat, Dafna"'
Autor:
Doniza, Liad, Lee, Mitchel, Katzir, Tamar Blumenfeld, Artzi, Moran, Bashat, Dafna Ben, Radunsky, Dvir, Shmueli, Karin, Ben-Eliezer, Noam
Quantitative Susceptibility Mapping (QSM) is a technique for measuring magnetic susceptibility of tissues, aiding in the detection of pathologies like traumatic brain injury and multiple sclerosis by analyzing variations in substances such as iron an
Externí odkaz:
http://arxiv.org/abs/2404.19309
Autor:
Specktor-Fadida, Bella, Levchakov, Anna, Schonberger, Dana, Ben-Sira, Liat, Ben-Bashat, Dafna, Joskowicz, Leo
Deep learning techniques depend on large datasets whose annotation is time-consuming. To reduce annotation burden, the self-training (ST) and active-learning (AL) methods have been developed as well as methods that combine them in an iterative fashio
Externí odkaz:
http://arxiv.org/abs/2308.10727
Autor:
Fadida, Bella Specktor, Yehuda, Bossmat, Sourani, Daphna Link, Sira, Liat Ben, Bashat, Dafna Ben, Joskowicz, Leo
Volumetric measurements of fetal structures in MRI are time consuming and error prone and therefore require automatic segmentation. Placenta segmentation and accurate fetal brain segmentation for gyrification assessment are particularly challenging b
Externí odkaz:
http://arxiv.org/abs/2209.12232
Autor:
Fadida, Bella Specktor, Sourani, Daphna Link, Miller, Liat Ben Sira Elka, Bashat, Dafna Ben, Joskowicz, Leo
Publikováno v:
Medical Image Learning with Limited and Noisy Data. MILLanD 2022. Lecture Notes in Computer Science, vol 13559. Springer, Cham
Deep learning methods have been shown to be effective for the automatic segmentation of structures and pathologies in medical imaging. However, they require large annotated datasets, whose manual segmentation is a tedious and time-consuming task, esp
Externí odkaz:
http://arxiv.org/abs/2209.12216
Autor:
Avisdris, Netanell, Rabinowich, Aviad, Fridkin, Daniel, Zilberman, Ayala, Lazar, Sapir, Herzlich, Jacky, Hananis, Zeev, Link-Sourani, Daphna, Ben-Sira, Liat, Hiersch, Liran, Bashat, Dafna Ben, Joskowicz, Leo
Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive or depleted adiposity. Although previous studies showed a correlation b
Externí odkaz:
http://arxiv.org/abs/2209.03748
Autor:
Avisdris, Netanell, Joskowicz, Leo, Dromey, Brian, David, Anna L., Peebles, Donald M., Stoyanov, Danail, Bashat, Dafna Ben, Bano, Sophia
Fetal growth assessment from ultrasound is based on a few biometric measurements that are performed manually and assessed relative to the expected gestational age. Reliable biometry estimation depends on the precise detection of landmarks in standard
Externí odkaz:
http://arxiv.org/abs/2206.14678
Autor:
Payette, Kelly, Li, Hongwei, de Dumast, Priscille, Licandro, Roxane, Ji, Hui, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Liu, Hao, Pei, Yuchen, Wang, Lisheng, Peng, Ying, Xie, Juanying, Zhang, Huiquan, Dong, Guiming, Fu, Hao, Wang, Guotai, Rieu, ZunHyan, Kim, Donghyeon, Kim, Hyun Gi, Karimi, Davood, Gholipour, Ali, Torres, Helena R., Oliveira, Bruno, Vilaça, João L., Lin, Yang, Avisdris, Netanell, Ben-Zvi, Ori, Bashat, Dafna Ben, Fidon, Lucas, Aertsen, Michael, Vercauteren, Tom, Sobotka, Daniel, Langs, Georg, Alenyà, Mireia, Villanueva, Maria Inmaculada, Camara, Oscar, Fadida, Bella Specktor, Joskowicz, Leo, Weibin, Liao, Yi, Lv, Xuesong, Li, Mazher, Moona, Qayyum, Abdul, Puig, Domenec, Kebiri, Hamza, Zhang, Zelin, Xu, Xinyi, Wu, Dan, Liao, KuanLun, Wu, YiXuan, Chen, JinTai, Xu, Yunzhi, Zhao, Li, Vasung, Lana, Menze, Bjoern, Cuadra, Meritxell Bach, Jakab, Andras
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in th
Externí odkaz:
http://arxiv.org/abs/2204.09573
Autor:
Avisdris, Netanell, Yehuda, Bossmat, Ben-Zvi, Ori, Link-Sourani, Daphna, Ben-Sira, Liat, Miller, Elka, Zharkov, Elena, Bashat, Dafna Ben, Joskowicz, Leo
Timely, accurate and reliable assessment of fetal brain development is essential to reduce short and long-term risks to fetus and mother. Fetal MRI is increasingly used for fetal brain assessment. Three key biometric linear measurements important for
Externí odkaz:
http://arxiv.org/abs/2106.08174
Autor:
Payette, Kelly, Li, Hongwei Bran, de Dumast, Priscille, Licandro, Roxane, Ji, Hui, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Liu, Hao, Pei, Yuchen, Wang, Lisheng, Peng, Ying, Xie, Juanying, Zhang, Huiquan, Dong, Guiming, Fu, Hao, Wang, Guotai, Rieu, ZunHyan, Kim, Donghyeon, Kim, Hyun Gi, Karimi, Davood, Gholipour, Ali, Torres, Helena R., Oliveira, Bruno, Vilaça, João L., Lin, Yang, Avisdris, Netanell, Ben-Zvi, Ori, Bashat, Dafna Ben, Fidon, Lucas, Aertsen, Michael, Vercauteren, Tom, Sobotka, Daniel, Langs, Georg, Alenyà, Mireia, Villanueva, Maria Inmaculada, Camara, Oscar, Fadida, Bella Specktor, Joskowicz, Leo, Weibin, Liao, Yi, Lv, Xuesong, Li, Mazher, Moona, Qayyum, Abdul, Puig, Domenec, Kebiri, Hamza, Zhang, Zelin, Xu, Xinyi, Wu, Dan, Liao, Kuanlun, Wu, Yixuan, Chen, Jintai, Xu, Yunzhi, Zhao, Li, Vasung, Lana, Menze, Bjoern, Cuadra, Meritxell Bach, Jakab, Andras
Publikováno v:
In Medical Image Analysis August 2023 88
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