Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Ihsani, Alvin"'
Autor:
Diaz-Pinto, Andres, Mehta, Pritesh, Alle, Sachidanand, Asad, Muhammad, Brown, Richard, Nath, Vishwesh, Ihsani, Alvin, Antonelli, Michela, Palkovics, Daniel, Pinter, Csaba, Alkalay, Ron, Pieper, Steve, Roth, Holger R., Xu, Daguang, Dogra, Prerna, Vercauteren, Tom, Feng, Andrew, Quraini, Abood, Ourselin, Sebastien, Cardoso, M. Jorge
Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be tedious and time-consuming task for expert annotators. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2305.10655
Autor:
Diaz-Pinto, Andres, Alle, Sachidanand, Nath, Vishwesh, Tang, Yucheng, Ihsani, Alvin, Asad, Muhammad, Pérez-García, Fernando, Mehta, Pritesh, Li, Wenqi, Flores, Mona, Roth, Holger R., Vercauteren, Tom, Xu, Daguang, Dogra, Prerna, Ourselin, Sebastien, Feng, Andrew, Cardoso, M. Jorge
The lack of annotated datasets is a major bottleneck for training new task-specific supervised machine learning models, considering that manual annotation is extremely expensive and time-consuming. To address this problem, we present MONAI Label, a f
Externí odkaz:
http://arxiv.org/abs/2203.12362
Autor:
Diaz-Pinto, Andres, Alle, Sachidanand, Nath, Vishwesh, Tang, Yucheng, Ihsani, Alvin, Asad, Muhammad, Pérez-García, Fernando, Mehta, Pritesh, Li, Wenqi, Flores, Mona, Roth, Holger R., Vercauteren, Tom, Xu, Daguang, Dogra, Prerna, Ourselin, Sebastien, Feng, Andrew, Cardoso, M. Jorge
Publikováno v:
In Medical Image Analysis July 2024 95
Autor:
Sitek, Arkadiusz, Ahn, Sangtae, Asma, Evren, Chandler, Adam, Ihsani, Alvin, Prevrhal, Sven, Rahmim, Arman, Saboury, Babak, Thielemans, Kris
Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has the ability to enhance and optimize all aspects of the PET imaging chai
Externí odkaz:
http://arxiv.org/abs/2107.06747
Autor:
Roth, Holger R., Chang, Ken, Singh, Praveer, Neumark, Nir, Li, Wenqi, Gupta, Vikash, Gupta, Sharut, Qu, Liangqiong, Ihsani, Alvin, Bizzo, Bernardo C., Wen, Yuhong, Buch, Varun, Shah, Meesam, Kitamura, Felipe, Mendonça, Matheus, Lavor, Vitor, Harouni, Ahmed, Compas, Colin, Tetreault, Jesse, Dogra, Prerna, Cheng, Yan, Erdal, Selnur, White, Richard, Hashemian, Behrooz, Schultz, Thomas, Zhang, Miao, McCarthy, Adam, Yun, B. Min, Sharaf, Elshaimaa, Hoebel, Katharina V., Patel, Jay B., Chen, Bryan, Ko, Sean, Leibovitz, Evan, Pisano, Etta D., Coombs, Laura, Xu, Daguang, Dreyer, Keith J., Dayan, Ittai, Naidu, Ram C., Flores, Mona, Rubin, Daniel, Kalpathy-Cramer, Jayashree
Publikováno v:
In: Albarqouni S. et al. (eds) Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. DART 2020, DCL 2020. Lecture Notes in Computer Science, vol 12444. Springer, Cham
Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical imaging classification models in a real-world collaborative setting. Seve
Externí odkaz:
http://arxiv.org/abs/2009.01871
Autor:
Shin, Hoo-Chang, Ihsani, Alvin, Xu, Ziyue, Mandava, Swetha, Sreenivas, Sharath Turuvekere, Forster, Christopher, Cha, Jiook, Initiative, Alzheimer's Disease Neuroimaging
Positron Emission Tomography (PET) is now regarded as the gold standard for the diagnosis of Alzheimer's Disease (AD). However, PET imaging can be prohibitive in terms of cost and planning, and is also among the imaging techniques with the highest do
Externí odkaz:
http://arxiv.org/abs/2008.04396
Autor:
Shin, Hoo-Chang, Ihsani, Alvin, Mandava, Swetha, Sreenivas, Sharath Turuvekere, Forster, Christopher, Cha, Jiook, Initiative, Alzheimer's Disease Neuroimaging
Synthesizing medical images, such as PET, is a challenging task due to the fact that the intensity range is much wider and denser than those in photographs and digital renderings and are often heavily biased toward zero. Above all, intensity values i
Externí odkaz:
http://arxiv.org/abs/2008.04393
Autor:
Myronenko, Andriy, Yang, Dong, Buch, Varun, Xu, Daguang, Ihsani, Alvin, Doyle, Sean, Michalski, Mark, Tenenholtz, Neil, Roth, Holger
We propose a 4D convolutional neural network (CNN) for the segmentation of retrospective ECG-gated cardiac CT, a series of single-channel volumetric data over time. While only a small subset of volumes in the temporal sequence is annotated, we define
Externí odkaz:
http://arxiv.org/abs/1906.07295
Autor:
Ihsani, Alvin
SPECT (Single Photon Emission Computed Tomography) is the modality of choice for myocardial perfusion imaging due to the high sensitivity and specificity, and the lower cost of equipment and radiotracers compared to PET. Dynamic SPECT imaging provide
Externí odkaz:
http://hdl.handle.net/11375/18089
Autor:
Ihsani, Alvin
Molecular imaging is an exciting and relatively new technology that has found widespread use in the diagnosis and observation of various diseases. More recently, molecular imaging has penetrated areas such as drug development in order to facilitate t
Externí odkaz:
http://hdl.handle.net/11375/9498