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Aloïs de La Comble
Aloïs de La Comble
Spore.bio
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Artificial intelligence evaluating primary thoracic lesions has an overall lower error rate compared to veterinarians or veterinarians in conjunction with the artificial …
E Boissady, A de La Comble, X Zhu, AM Hespel
Veterinary Radiology & Ultrasound 61 (6), 619-627, 2020
392020
Comparison of a deep learning algorithm vs. humans for vertebral heart scale measurements in cats and dogs shows a high degree of agreement among readers
E Boissady, A De La Comble, X Zhu, J Abbott, H Adrien-Maxence
Frontiers in Veterinary Science 8, 764570, 2021
132021
Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 boardcertified veterinary radiologists when evaluating 15 labels of …
H AdrienMaxence, B Emilie, DC Alois, A Michelle, A Kate, A Mylene, ...
Veterinary Radiology & Ultrasound 63 (4), 456-468, 2022
112022
Efficient transfer learning for multi-channel convolutional neural networks
A de La Comble, K Prepin
2021 17th International Conference on Machine Vision and Applications (MVA), 1-6, 2021
52021
Document image analysis apparatus, document image analysis method and program thereof
S Maggio, A DE LA COMBLE, K Prepin
US Patent 11,900,644, 2024
42024
Multi-modal attribute extraction for e-commerce
A De la Comble, A Dutt, P Montalvo, A Salah
arXiv preprint arXiv:2203.03441, 2022
42022
Information processing apparatus and information processing method
A DE LA COMBLE, K Prepin
US Patent App. 17/289,356, 2023
2023
Digital quality control using computer visioning with deep learning
O Bonneau, S Hamani, APP De La Comble, P Cottereau
US Patent App. 17/826,962, 2022
2022
Digital quality control using computer visioning with deep learning
O Bonneau, S Hamani, APP De La Comble, P Cottereau
US Patent 11,373,287, 2022
2022
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