12 papers · ranked by Valyu relevance
Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh + 4 more
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, scalability, and resource efficiency. However, due to the trade-off…
Yannick Mahlich, Chengsheng Zhu, Henri Chung, Pavan K. Velaga + 4 more
Determining the repertoire of a microbe’s molecular functions is a central question in microbial biology. Modern techniques achieve this goal by comparing microbial genetic material against reference databases of functionally annotated genes/proteins or known taxonomic markers such as 16S rRNA. Here we describe a novel…
Marlena Duda, Jiayu Chen, Aysenil Belger, Judith Ford + 6 more
The precise relationship between brain structure and function has been investigated through a multitude of lenses, but one detail that is held constant across most neuroimaging studies in this space is the identification of a singular structural basis set of the brain, upon which functional activation signals can be…
Christopher S. Henry, Claudia Lerma-Ortiz, Svetlana Y. Gerdes, Jeffrey D. Mullen + 10 more
'Jeffrey D. Mullen' 'Ric Colasanti' 'Aleksey Zhukov' 'Océane Frelin' 'Jennifer J. Thiaville' 'Rémi Zallot' 'Thomas D. Niehaus' 'Ghulam Hasnain' 'Neal Conrad' 'Andrew D. Hanson' 'Valérie de Crécy-Lagard'] Background Gene fusions are the most powerful type of in silico-derived functional associations. However, many…
Gabriele Picco, Elisabeth D Chen, Luz Garcia Alonso, Fiona M Behan + 16 more
Many gene fusions have been reported in tumours and for most their role remains unknown. As fusions can be used clinically for diagnostic and prognostic purposes, and are targets for treatment, it is crucial to assess their functional implications in cancer. To investigate the role of fusions in tumor cell fitness, we…
Charlie Murphy, Olivier Elemento
The discovery of novel gene fusions in tumor samples has rapidly accelerated with the rise of next-generation sequencing. A growing number of tools enable discovery of gene fusions from RNA-seq data. However it is likely that not all gene fusions are driving tumors. Assessing the potential functional consequences of a…
Ludan Chen, Shiwen Wu, Stephen C. H. Leung
Introduction The advancement of medical robotic systems highlights the critical need for precise and high-quality visual data, particularly in low-quality imaging scenarios. This study explores the interdisciplinary physics underlying image fusion and analysis, addressing challenges such as integrating complementary…
Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo + 1 more
Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible…
Marwah Almasri, Khaled Elleithy, Abrar Alajlan, Lianqing Liu + 4 more
Autonomous mobile robots have become a very popular and interesting topic in the last decade. Each of them are equipped with various types of sensors such as GPS, camera, infrared and ultrasonic sensors. These sensors are used to observe the surrounding environment. However, these sensors sometimes fail and have…
Wenqing Wang, Ji He, Han Liu, Wei Yuan + 1 more
The fusion of multi-modal medical images has great significance for comprehensive diagnosis and treatment. However, the large differences between the various modalities of medical images make multi-modal medical image fusion a great challenge. This paper proposes a novel multi-scale fusion network based on…
Roozbeh Dehghannasiri, Donald Eric Freeman, Milos Jordanski, Gillian L. Hsieh + 3 more
The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce a new algorithm, DEEPEST, that uses statistical modeling to minimize…
Ayush Dogra, Bhawna Goyal, Dawa Chyophel Lepcha, Ahmed Alkhayyat + 4 more
'Devendra Singh' 'Durga Prasad Bavirisetti' 'Vinay Kukreja' 'Muhammad Shahid Farid'] Multimodal medical image fusion is a perennially prominent research topic that can obtain informative medical images and aid radiologists in diagnosing and treating disease more effectively. However, the recent state-of-the-art methods…