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Biagio Brattoli
Biagio Brattoli
Research scientist at Lunit, previously AWS. PhD at Heidelberg University
Verified email at lunit.io - Homepage
Title
Cited by
Cited by
Year
Vidtr: Video transformer without convolutions
Y Zhang, X Li, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1812021
Rethinking zero-shot video classification: End-to-end training for realistic applications
B Brattoli, J Tighe, F Zhdanov, P Perona, K Chalupka
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1452020
Improving spatiotemporal self-supervision by deep reinforcement learning
U Buchler, B Brattoli, B Ommer
Proceedings of the European conference on computer vision (ECCV), 770-786, 2018
1312018
Mic: Mining interclass characteristics for improved metric learning
K Roth, B Brattoli, B Ommer
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1092019
Cross and learn: Cross-modal self-supervision
N Sayed, B Brattoli, B Ommer
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
992019
Optogenetically stimulating intact rat corticospinal tract post-stroke restores motor control through regionalized functional circuit formation
AS Wahl, U Büchler, A Brändli, B Brattoli, S Musall, H Kasper, BV Ineichen, ...
Nature communications 8 (1), 1187, 2017
822017
Lstm self-supervision for detailed behavior analysis
B Brattoli, U Buchler, AS Wahl, ME Schwab, B Ommer
Proceedings of the IEEE conference on computer vision and pattern …, 2017
562017
Vidtr: Video transformer without convolutions
X Li, Y Zhang, C Liu, B Shuai, Y Zhu, B Brattoli, H Chen, I Marsic, J Tighe
arXiv e-prints, arXiv: 2104.11746, 2021
292021
Sharing matters for generalization in deep metric learning
T Milbich, K Roth, B Brattoli, B Ommer
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 416-427, 2020
292020
Ocelot: Overlapped cell on tissue dataset for histopathology
J Ryu, AV Puche, JW Shin, S Park, B Brattoli, J Lee, W Jung, SI Cho, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
182023
Unsupervised behaviour analysis and magnification (uBAM) using deep learning
B Brattoli, U Büchler, M Dorkenwald, P Reiser, L Filli, F Helmchen, ...
Nature Machine Intelligence 3 (6), 495-506, 2021
182021
Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats
AS Wahl, E Erlebach, B Brattoli, U Büchler, J Kaiser, BV Ineichen, ...
Journal of Cerebral Blood Flow & Metabolism 39 (10), 2022-2034, 2019
142019
Scvrl: Shuffled contrastive video representation learning
M Dorkenwald, F Xiao, B Brattoli, J Tighe, D Modolo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
132022
ubam: Unsupervised behavior analysis and magnification using deep learning
B Brattoli, U Büchler, M Dorkenwald, P Reiser, L Filli, F Helmchen, ...
CoRR, 2020
32020
X-GAN: Improving generative adversarial networks with ConveX combinations
O Blum, B Brattoli, B Ommer
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
22019
Exploring expression levels of HER2, HER3, MET, Claudin18. 2, and MUC16 across 16 cancer types using an artificial intelligence-powered immunohistochemistry analyzer.
S Shin, SI Cho, S Choi, T Lee, S Kim, W Jung, M Mostafavi, B Brattoli, ...
Journal of Clinical Oncology 41 (16_suppl), 3135-3135, 2023
12023
Identification of HER2 ultra-low based on an artificial intelligence (AI)-powered HER2 subcellular quantification from HER2 immunohistochemistry images.
W Jung, T Lee, S SHIN, B Brattoli, M Mostafavi, G Park, S Kim, H Lee, ...
Journal of Clinical Oncology 42 (16_suppl), 1115-1115, 2024
2024
Method and system for analysing pathology image
B Brattoli, C Ock, J Wonkyung, K Paeng, DG Yoo
US Patent App. 18/491,314, 2024
2024
1308 Artificial intelligence (AI)-powered immune phenotyping based on programmed death ligand 1 (PD-L1) immunohistochemistry (IHC) in triple negative breast cancer (TNBC)
S Shin, G Park, SI Cho, T Lee, J Ro, S Kim, S Shin, A Valero, S Park, ...
Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023
2023
Effect of an artificial intelligence–powered programmed death-ligand 1 combined positive score analyzer in urothelial cancer on inter-observer and inter-site variability.
SI Cho, JH Park, KS Lee, E Choi, W Jung, S Song, S Kim, J Shin, J Ryu, ...
Journal of Clinical Oncology 41 (16_suppl), e13546-e13546, 2023
2023
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