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pro vyhledávání: '"SHAH, ANAND"'
Electrocardiograms (ECGs) are non-invasive diagnostic tools crucial for detecting cardiac arrhythmic diseases in clinical practice. While ECG Self-supervised Learning (eSSL) methods show promise in representation learning from unannotated ECG data, t
Externí odkaz:
http://arxiv.org/abs/2403.06659
Autor:
Liu, Che, Ouyang, Cheng, Chen, Yinda, Quilodrán-Casas, Cesar César, Ma, Lei, Fu, Jie, Guo, Yike, Shah, Anand, Bai, Wenjia, Arcucci, Rossella
Expert annotation of 3D medical image for downstream analysis is resource-intensive, posing challenges in clinical applications. Visual self-supervised learning (vSSL), though effective for learning visual invariance, neglects the incorporation of do
Externí odkaz:
http://arxiv.org/abs/2312.01529
Recently, medical vision-language pre-training (VLP) has reached substantial progress to learn global visual representation from medical images and their paired radiology reports. However, medical imaging tasks in real world usually require finer gra
Externí odkaz:
http://arxiv.org/abs/2312.01522
In the field of medical Vision-Language Pre-training (VLP), significant efforts have been devoted to deriving text and image features from both clinical reports and associated medical images. However, most existing methods may have overlooked the opp
Externí odkaz:
http://arxiv.org/abs/2310.07355
Medical Vision-Language Pre-training (VLP) learns representations jointly from medical images and paired radiology reports. It typically requires large-scale paired image-text datasets to achieve effective pre-training for both the image encoder and
Externí odkaz:
http://arxiv.org/abs/2310.07027
Autor:
Liu, Che, Cheng, Sibo, Chen, Chen, Qiao, Mengyun, Zhang, Weitong, Shah, Anand, Bai, Wenjia, Arcucci, Rossella
Medical vision-language models enable co-learning and integrating features from medical imaging and clinical text. However, these models are not easy to train and the latent representation space can be complex. Here we propose a novel way for pre-tra
Externí odkaz:
http://arxiv.org/abs/2307.08347
Autor:
Brown, Meagan C., Cushing-Haugen, Kara, Wellman, Robert, Dorsey, Caitlin N., Norris, Consuelo MS, Adams, John L., Steiner, John F., Shah, Anand R., Lewis, Cara C.
Publikováno v:
In AJPM Focus February 2025 4(1)
Autor:
Vijayvargiya, Sonya, Mekary, Wissam, Jain, Vardhmaan, Rao, Birju R., Ibrahim, Rand, Patel, Anshul M., Shah, Anand D., DeLurgio, David B., Westerman, Stacy, Lloyd, Michael S., Bhatia, Neal, Merchant, Faisal M., El-Chami, Mikhael F.
Publikováno v:
In Heart Rhythm October 2024 21(10):1907-1911
Autor:
Ibrahim, Rand, Chaffin, Kimberly, Shah, Anand, Westerman, Stacy, Lloyd, Michael, Bhatia, Neal, Merchant, Faisal M., El-Chami, Mikhael
Publikováno v:
In Heart Rhythm August 2024 21(8):1334-1341
Autor:
Sathishkumar, Krishnan, Sankarapillai, Jayasankar, Mathew, Aleyamma, Nair, Rekha A., Gangane, Nitin, Khuraijam, Sushma, Barmon, Debabrata, Pandya, Shashank, Majumdar, Gautam, Deshmane, Vinay, Zomawia, Eric, Bhutia, Tseten Wangyal, Jerang, Kaling, George, Preethi Sara, Maliye, Swapna, Laishram, Rajesh, Shah, Anand, Debbarma, Shiromani, Koyande, Shravani, Pachuau, Lalawmpuii, Pradhan, Priya D., Jongkey, Gegong, Chaturvedi, Meesha, Das, Priyanka, Mathur, Prashant
Publikováno v:
In The Lancet Regional Health - Southeast Asia May 2024 24