Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Sharma, Vanshali"'
Autor:
Jha, Debesh, Tomar, Nikhil Kumar, Sharma, Vanshali, Trinh, Quoc-Huy, Biswas, Koushik, Pan, Hongyi, Jha, Ritika K., Durak, Gorkem, Hann, Alexander, Varkey, Jonas, Dao, Hang Viet, Van Dao, Long, Nguyen, Binh Phuc, Pham, Khanh Cong, Tran, Quang Trung, Papachrysos, Nikolaos, Rieders, Brandon, Schmidt, Peter Thelin, Geissler, Enrik, Berzin, Tyler, Halvorsen, Pål, Riegler, Michael A., de Lange, Thomas, Bagci, Ulas
Colonoscopy is the primary method for examination, detection, and removal of polyps. Regular screening helps detect and prevent colorectal cancer at an early curable stage. However, challenges such as variation among the endoscopists' skills, bowel q
Externí odkaz:
http://arxiv.org/abs/2409.00045
Autor:
Sharma, Vanshali
Various trending image generative techniques, such as diffusion models, have enabled visually appealing outcomes with just text-based descriptions. Unlike general images, where assessing the quality and alignment with text descriptions is trivial, es
Externí odkaz:
http://arxiv.org/abs/2407.10029
Autor:
Das, Abhijit, Jha, Debesh, Sanjotra, Jasmer, Susladkar, Onkar, Sarkar, Suramyaa, Rauniyar, Ashish, Tomar, Nikhil, Sharma, Vanshali, Bagci, Ulas
Foundational models (FMs) have tremendous potential to revolutionize medical imaging. However, their deployment in real-world clinical settings demands extensive ethical considerations. This paper aims to highlight the ethical concerns related to FMs
Externí odkaz:
http://arxiv.org/abs/2406.11868
Autor:
Jha, Debesh, Sharma, Vanshali, Banik, Debapriya, Bhattacharya, Debayan, Roy, Kaushiki, Hicks, Steven A., Tomar, Nikhil Kumar, Thambawita, Vajira, Krenzer, Adrian, Ji, Ge-Peng, Poudel, Sahadev, Batchkala, George, Alam, Saruar, Ahmed, Awadelrahman M. A., Trinh, Quoc-Huy, Khan, Zeshan, Nguyen, Tien-Phat, Shrestha, Shruti, Nathan, Sabari, Gwak, Jeonghwan, Jha, Ritika K., Zhang, Zheyuan, Schlaefer, Alexander, Bhattacharjee, Debotosh, Bhuyan, M. K., Das, Pradip K., Fan, Deng-Ping, Parsa, Sravanthi, Ali, Sharib, Riegler, Michael A., Halvorsen, Pål, De Lange, Thomas, Bagci, Ulas
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such
Externí odkaz:
http://arxiv.org/abs/2307.16262
Autor:
Jha, Debesh, Sharma, Vanshali, Dasu, Neethi, Tomar, Nikhil Kumar, Hicks, Steven, Bhuyan, M. K., Das, Pradip K., Riegler, Michael A., Halvorsen, Pål, Bagci, Ulas, de Lange, Thomas
Integrating real-time artificial intelligence (AI) systems in clinical practices faces challenges such as scalability and acceptance. These challenges include data availability, biased outcomes, data quality, lack of transparency, and underperformanc
Externí odkaz:
http://arxiv.org/abs/2307.08140
Autor:
Jha, Debesh, Rauniyar, Ashish, Srivastava, Abhiskek, Hagos, Desta Haileselassie, Tomar, Nikhil Kumar, Sharma, Vanshali, Keles, Elif, Zhang, Zheyuan, Demir, Ugur, Topcu, Ahmet, Yazidi, Anis, Håakegård, Jan Erik, Bagci, Ulas
Artificial intelligence (AI) methods hold immense potential to revolutionize numerous medical care by enhancing the experience of medical experts and patients. AI-based computer-assisted diagnosis and treatment tools can democratize healthcare by mat
Externí odkaz:
http://arxiv.org/abs/2304.11530
Various artifacts, such as ghost colors, interlacing, and motion blur, hinder diagnosing colorectal cancer (CRC) from videos acquired during colonoscopy. The frames containing these artifacts are called uninformative frames and are present in large p
Externí odkaz:
http://arxiv.org/abs/2304.02152
Colonoscopy is considered the most effective screening test to detect colorectal cancer (CRC) and its precursor lesions, i.e., polyps. However, the procedure experiences high miss rates due to polyp heterogeneity and inter-observer dependency. Hence,
Externí odkaz:
http://arxiv.org/abs/2303.07428
Autor:
Jha, Debesh, Sharma, Vanshali, Banik, Debapriya, Bhattacharya, Debayan, Roy, Kaushiki, Hicks, Steven A., Tomar, Nikhil Kumar, Thambawita, Vajira, Krenzer, Adrian, Ji, Ge-Peng, Poudel, Sahadev, Batchkala, George, Alam, Saruar, Ahmed, Awadelrahman M.A., Trinh, Quoc-Huy, Khan, Zeshan, Nguyen, Tien-Phat, Shrestha, Shruti, Nathan, Sabari, Gwak, Jeonghwan, Jha, Ritika K., Zhang, Zheyuan, Schlaefer, Alexander, Bhattacharjee, Debotosh, Bhuyan, M.K., Das, Pradip K., Fan, Deng-Ping, Parasa, Sravanthi, Ali, Sharib, Riegler, Michael A., Halvorsen, Pål, de Lange, Thomas, Bagci, Ulas
Publikováno v:
In Medical Image Analysis January 2025 99
Autor:
Sasmal, Pradipta, Sharma, Vanshali, Prakash, Allam Jaya, Bhuyan, M.K., Patro, Kiran Kumar, Samee, Nagwan Abdel, Alamro, Hayam, Iwahori, Yuji, Tadeusiewicz, Ryszard, Acharya, U. Rajendra, Pławiak, Paweł
Publikováno v:
In Information Sciences February 2024 658