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Aloïs de La Comble
Aloïs de La Comble
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Title
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Year
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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