Zobrazeno 1 - 10
of 1 236
pro vyhledávání: '"Comaniciu A"'
Autor:
Jacob, Athira J, Borgohain, Indraneel, Chitiboi, Teodora, Sharma, Puneet, Comaniciu, Dorin, Rueckert, Daniel
Cardiac magnetic resonance imaging (CMR), considered the gold standard for noninvasive cardiac assessment, is a diverse and complex modality requiring a wide variety of image processing tasks for comprehensive assessment of cardiac morphology and fun
Externí odkaz:
http://arxiv.org/abs/2410.01665
Autor:
Li, Hao, Liu, Han, von Busch, Heinrich, Grimm, Robert, Huisman, Henkjan, Tong, Angela, Winkel, David, Penzkofer, Tobias, Shabunin, Ivan, Choi, Moon Hyung, Yang, Qingsong, Szolar, Dieter, Shea, Steven, Coakley, Fergus, Harisinghani, Mukesh, Oguz, Ipek, Comaniciu, Dorin, Kamen, Ali, Lou, Bin
Publikováno v:
Radiology: Artificial Intelligence 2024;6(5):e230521
Our hypothesis is that UDA using diffusion-weighted images, generated with a unified model, offers a promising and reliable strategy for enhancing the performance of supervised learning models in multi-site prostate lesion detection, especially when
Externí odkaz:
http://arxiv.org/abs/2408.04777
Autor:
Gao, Riqiang, Ghesu, Florin C., Arberet, Simon, Basiri, Shahab, Kuusela, Esa, Kraus, Martin, Comaniciu, Dorin, Kamen, Ali
In contemporary radiotherapy planning (RTP), a key module leaf sequencing is predominantly addressed by optimization-based approaches. In this paper, we propose a novel deep reinforcement learning (DRL) model termed as Reinforced Leaf Sequencer (RLS)
Externí odkaz:
http://arxiv.org/abs/2406.01853
Autor:
Islam, Saahil, Murthy, Venkatesh N., Neumann, Dominik, Das, Badhan Kumar, Sharma, Puneet, Maier, Andreas, Comaniciu, Dorin, Ghesu, Florin C.
An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac interventions. This information is leveraged for procedural guidance, e.g., directing stent
Externí odkaz:
http://arxiv.org/abs/2405.01156
Autor:
Dhanaliwala, Ali H., Ghosh, Rikhiya, Karn, Sanjeev Kumar, Ullaskrishnan, Poikavila, Farri, Oladimeji, Comaniciu, Dorin, Kahn, Charles E.
Radiologists produce unstructured data that can be valuable for clinical care when consumed by information systems. However, variability in style limits usage. Study compares system using domain-adapted language model (RadLing) and general-purpose LL
Externí odkaz:
http://arxiv.org/abs/2311.17213
Autor:
Demoustier, Marc, Zhang, Yue, Murthy, Venkatesh Narasimha, Ghesu, Florin C., Comaniciu, Dorin
Device tracking is an important prerequisite for guidance during endovascular procedures. Especially during cardiac interventions, detection and tracking of guiding the catheter tip in 2D fluoroscopic images is important for applications such as mapp
Externí odkaz:
http://arxiv.org/abs/2307.07541
Autor:
Danu, Manuela Daniela, Marica, George, Karn, Sanjeev Kumar, Georgescu, Bogdan, Mansoor, Awais, Ghesu, Florin, Itu, Lucian Mihai, Suciu, Constantin, Grbic, Sasa, Farri, Oladimeji, Comaniciu, Dorin
Publikováno v:
Information Technology and Quantitative Management (ITQM 2023
Among all the sub-sections in a typical radiology report, the Clinical Indications, Findings, and Impression often reflect important details about the health status of a patient. The information included in Impression is also often covered in Finding
Externí odkaz:
http://arxiv.org/abs/2306.10448
Autor:
Badhan Kumar Das, Gengyan Zhao, Saahil Islam, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas Maier
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Vision transformers (ViTs) have revolutionized computer vision by employing self-attention instead of convolutional neural networks and demonstrated success due to their ability to capture global dependencies and remove spatial biases of loc
Externí odkaz:
https://doaj.org/article/1c39c5db40d64139a482431b67688bd1
Autor:
Ghesu, Florin C., Georgescu, Bogdan, Mansoor, Awais, Yoo, Youngjin, Neumann, Dominik, Patel, Pragneshkumar, Vishwanath, R. S., Balter, James M., Cao, Yue, Grbic, Sasa, Comaniciu, Dorin
Building accurate and robust artificial intelligence systems for medical image assessment requires not only the research and design of advanced deep learning models but also the creation of large and curated sets of annotated training examples. Const
Externí odkaz:
http://arxiv.org/abs/2201.01283
Publikováno v:
European Psychiatry, Vol 67, Pp S470-S470 (2024)
Introduction Paraphrenia, classically known as a chronic delusional-hallucinatory psychosis, currently has an uncertain nosological status, not being included in DSM-5 either. It can be integrated into the group of schizophrenic and delusional psycho
Externí odkaz:
https://doaj.org/article/36fae1e95b174e0bac38060960176bdc