Zobrazeno 1 - 10
of 4 406
pro vyhledávání: '"van Schaik, A. P."'
Autor:
Reasat, Tahsin, Chenard, Stephen, Rekulapelli, Akhil, Chadwick, Nicholas, Shechtel, Joanna, van Schaik, Katherine, Smith, David S., Lawrenz, Joshua
Accurate musculoskeletal soft tissue tumor segmentation is vital for assessing tumor size, location, diagnosis, and response to treatment, thereby influencing patient outcomes. However, segmentation of these tumors requires clinical expertise, and an
Externí odkaz:
http://arxiv.org/abs/2409.03110
Autor:
Dobrita, Alexandra, Yousefzadeh, Amirreza, Thorpe, Simon, Vadivel, Kanishkan, Detterer, Paul, Tang, Guangzhi, van Schaik, Gert-Jan, Konijnenburg, Mario, Gebregiorgis, Anteneh, Hamdioui, Said, Sifalakis, Manolis
For Edge AI applications, deploying online learning and adaptation on resource-constrained embedded devices can deal with fast sensor-generated streams of data in changing environments. However, since maintaining low-latency and power-efficient infer
Externí odkaz:
http://arxiv.org/abs/2406.17285
Autor:
Dennler, Nik, Drix, Damien, Warner, Tom P. A., Rastogi, Shavika, Della Casa, Cecilia, Ackels, Tobias, Schaefer, Andreas T., van Schaik, André, Schmuker, Michael
Animals have evolved to rapidly detect and recognise brief and intermittent encounters with odour packages, exhibiting recognition capabilities within milliseconds. Artificial olfaction has faced challenges in achieving comparable results -- existing
Externí odkaz:
http://arxiv.org/abs/2406.01904
Autor:
Gao, Chenyu, Kim, Michael E., Lee, Ho Hin, Yang, Qi, Khairi, Nazirah Mohd, Kanakaraj, Praitayini, Newlin, Nancy R., Archer, Derek B., Jefferson, Angela L., Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Team, The BIOCARD Study, Huo, Yuankai, Van Schaik, Katherine D., Schilling, Kurt G., Moyer, Daniel, Išgum, Ivana, Landman, Bennett A.
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from expected results, from s
Externí odkaz:
http://arxiv.org/abs/2311.03500
This article introduces the Event based Prediction Suffix Tree (EPST), a biologically inspired, event-based prediction algorithm. The EPST learns a model online based on the statistics of an event based input and can make predictions over multiple ov
Externí odkaz:
http://arxiv.org/abs/2310.14944
Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them particularly useful for such monitoring applications. However, how to eff
Externí odkaz:
http://arxiv.org/abs/2310.07475
Neuromorphic computing is one of the few current approaches that have the potential to significantly reduce power consumption in Machine Learning and Artificial Intelligence. Imam & Cleland presented an odour-learning algorithm that runs on a neuromo
Externí odkaz:
http://arxiv.org/abs/2309.11555
Autor:
Pradeep Kumar, Omid Gholamalamdari, Yang Zhang, Liguo Zhang, Anastassiia Vertii, Tom van Schaik, Daan Peric-Hupkes, Takayo Sasaki, David M. Gilbert, Bas van Steensel, Jian Ma, Paul D. Kaufman, Andrew S. Belmont
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract Genome differential positioning within interphase nuclei remains poorly explored. We extended and validated Tyramide Signal Amplification (TSA)-seq to map genomic regions near nucleoli and pericentric heterochromatin in four human cell lines
Externí odkaz:
https://doaj.org/article/cfb961e8f2924eb693d3f3d3481fa6c4
Autor:
Jonathan E. Knikman, Qinglian Zhai, Carin A. T. C. Lunenburg, Linda M. Henricks, Stefan Böhringer, Maaike van der Lee, Femke M. de Man, Steven M. Offer, Shikshya Shrestha, Geert-Jan Creemers, Arnold Baars, Vincent O. Dezentjé, Alexander L. T. Imholz, Frank J. F. Jeurissen, Johanna E. A. Portielje, Rob L. H. Jansen, Paul Hamberg, Helga J. Droogendijk, Miriam Koopman, Peter Nieboer, Marlène H. W. van de Poel, Caroline M. P. W. Mandigers, Ron H. N. van Schaik, Hans Gelderblom, Ron H. J. Mathijssen, Jan H. M. Schellens, Annemieke Cats, Henk-Jan Guchelaar, Jesse J. Swen
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background The Alpe-DPD study (NCT02324452) demonstrated that prospective genotyping and dose-individualization using four alleles in DPYD (DPYD*2A/rs3918290, c.1236G > A/rs75017182, c.2846A > T/rs67376798 and c.1679 T > G/rs56038477) can mi
Externí odkaz:
https://doaj.org/article/b16be71c28a348628ff01bad41681526
Autor:
Krishna, Adithya, Nudurupati, Srikanth Rohit, G, Chandana D, Dwivedi, Pritesh, van Schaik, André, Mehendale, Mahesh, Thakur, Chetan Singh
Deep Neural Network (DNN) based inference at the edge is challenging as these compute and data-intensive algorithms need to be implemented at low cost and low power while meeting the latency constraints of the target applications. Sparsity, in both a
Externí odkaz:
http://arxiv.org/abs/2306.06493