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of 403
pro vyhledávání: '"Decherchi P"'
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Autor:
Bassi, Pedro R. A. S., Li, Wenxuan, Tang, Yucheng, Isensee, Fabian, Wang, Zifu, Chen, Jieneng, Chou, Yu-Cheng, Kirchhoff, Yannick, Rokuss, Maximilian, Huang, Ziyan, Ye, Jin, He, Junjun, Wald, Tassilo, Ulrich, Constantin, Baumgartner, Michael, Roy, Saikat, Maier-Hein, Klaus H., Jaeger, Paul, Ye, Yiwen, Xie, Yutong, Zhang, Jianpeng, Chen, Ziyang, Xia, Yong, Xing, Zhaohu, Zhu, Lei, Sadegheih, Yousef, Bozorgpour, Afshin, Kumari, Pratibha, Azad, Reza, Merhof, Dorit, Shi, Pengcheng, Ma, Ting, Du, Yuxin, Bai, Fan, Huang, Tiejun, Zhao, Bo, Wang, Haonan, Li, Xiaomeng, Gu, Hanxue, Dong, Haoyu, Yang, Jichen, Mazurowski, Maciej A., Gupta, Saumya, Wu, Linshan, Zhuang, Jiaxin, Chen, Hao, Roth, Holger, Xu, Daguang, Blaschko, Matthew B., Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan L., Zhou, Zongwei
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a con
Externí odkaz:
http://arxiv.org/abs/2411.03670
Autor:
Bassi, Pedro R. A. S., Wu, Qilong, Li, Wenxuan, Decherchi, Sergio, Cavalli, Andrea, Yuille, Alan, Zhou, Zongwei
As medical datasets rapidly expand, creating detailed annotations of different body structures becomes increasingly expensive and time-consuming. We consider that requesting radiologists to create detailed annotations is unnecessarily burdensome and
Externí odkaz:
http://arxiv.org/abs/2411.02753
Federated learning is becoming an increasingly viable and accepted strategy for building machine learning models in critical privacy-preserving scenarios such as clinical settings. Often, the data involved is not limited to clinical data but also inc
Externí odkaz:
http://arxiv.org/abs/2407.17228
Bias and spurious correlations in data can cause shortcut learning, undermining out-of-distribution (OOD) generalization in deep neural networks. Most methods require unbiased data during training (and/or hyper-parameter tuning) to counteract shortcu
Externí odkaz:
http://arxiv.org/abs/2407.09788
Bias or spurious correlations in image backgrounds can impact neural networks, causing shortcut learning (Clever Hans Effect) and hampering generalization to real-world data. ISNet, a recently introduced architecture, proposed the optimization of Lay
Externí odkaz:
http://arxiv.org/abs/2401.08409
Autor:
Céline Ertlen, Mostafa Seblani, Maxime Bonnet, Jean-Michel Brezun, Thelma Coyle, Florence Sabatier, Stéphane Fuentes, Patrick Decherchi, Nicolas Serratrice, Tanguy Marqueste
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Background Spinal cord injuries (SCI) lead to functional alteration with important consequences such as motor and sensory disorders. The repair strategies developed to date remain ineffective. The adipose tissue-derived stromal vascular frac
Externí odkaz:
https://doaj.org/article/118a58afdf9b44ddb5a40a256a6815f3
Publikováno v:
IEEE Access, Vol 12, Pp 155151-155167 (2024)
Bias or spurious correlations in image backgrounds can impact neural networks, causing shortcut learning (Clever Hans Effect) and hampering generalization to real-world data. ISNet, a recently introduced architecture, proposed the optimization of Lay
Externí odkaz:
https://doaj.org/article/6b2a9d1fe0b54cdd8da90a030cecffdc
Autor:
Karthikeyan Kalyanasundaram Balasubramanian, Mirco Di Salvo, Walter Rocchia, Sergio Decherchi, Marco Crepaldi
Publikováno v:
IEEE Access, Vol 12, Pp 55925-55944 (2024)
The demand for Artificial Intelligence (AI) based solutions is exponentially increasing in all application fields, including low-power devices on the edge. However, due to their limited computational capabilities, these devices, which run Central Pro
Externí odkaz:
https://doaj.org/article/bf9da8d960bc4c40a0a3510acbb5c8a9
Publikováno v:
Cells, Vol 13, Iss 20, p 1729 (2024)
Complement C5a protein has been shown to play a major role in tissue regeneration through interaction with its receptor (C5aR) on target cells. Expression of this receptor has been reported in the nervous system which, upon injury, has no treatment t
Externí odkaz:
https://doaj.org/article/12028b5740934f03a03ca56d2432f8c6
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