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Javier Alvarez Valle
Javier Alvarez Valle
Microsoft Research
Verified email at microsoft.com
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Year
Making the most of text semantics to improve biomedical vision–language processing
B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ...
European conference on computer vision, 1-21, 2022
1012022
Evaluation of deep learning to augment image-guided radiotherapy for head and neck and prostate cancers
O Oktay, J Nanavati, A Schwaighofer, D Carter, M Bristow, R Tanno, ...
JAMA network open 3 (11), e2027426-e2027426, 2020
602020
Machine learning for auto-segmentation in radiotherapy planning
K Harrison, H Pullen, C Welsh, O Oktay, J Alvarez-Valle, R Jena
Clinical Oncology 34 (2), 74-88, 2022
552022
Active label cleaning for improved dataset quality under resource constraints
M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ...
Nature communications 13 (1), 1161, 2022
472022
Learning to exploit temporal structure for biomedical vision-language processing
S Bannur, S Hyland, Q Liu, F Perez-Garcia, M Ilse, DC Castro, B Boecking, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
372023
Secure medical image analysis with cryptflow
J Alvarez-Valle, P Bhatu, N Chandran, D Gupta, A Nori, A Rastogi, ...
arXiv preprint arXiv:2012.05064, 2020
82020
Exploring the Boundaries of GPT-4 in Radiology
Q Liu, S Hyland, S Bannur, K Bouzid, DC Castro, MT Wetscherek, R Tinn, ...
arXiv preprint arXiv:2310.14573, 2023
72023
Addressing the exorbitant cost of labeling medical images with active learning
S Rahimi, O Oktay, J Alvarez-Valle, S Bharadwaj
International Conference on Machine Learning in Medical Imaging and Analysis, 1, 2021
72021
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
S Bannur, O Oktay, M Bernhardt, A Schwaighofer, R Jena, B Nushi, ...
arXiv preprint arXiv:2107.06618, 2021
32021
Production-level open source privacy preserving inference in medical imaging
A Soin, P Bhatu, R Takhar, N Chandran, D Gupta, J Alvarez-Valle, ...
CoRR, abs/2107.10230, 2021
32021
Transmisión de datos por la red eléctrica
JÁ Valle, VG González, DG Fernández, GGM Hernández, DR Fernández, ...
Disponible online: http://www. victorgarcia. org/files/PLC-v2. 0RC. pdf …, 0
2
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision
F Pérez-García, H Sharma, S Bond-Taylor, K Bouzid, V Salvatelli, M Ilse, ...
arXiv preprint arXiv:2401.10815, 2024
12024
MAIRA-1: A specialised large multimodal model for radiology report generation
SL Hyland, S Bannur, K Bouzid, DC Castro, M Ranjit, A Schwaighofer, ...
arXiv preprint arXiv:2311.13668, 2023
12023
Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query
HH Lee, A Santamaria-Pang, J Merkow, O Oktay, F Pérez-García, ...
arXiv preprint arXiv:2305.05598, 2023
12023
Compositional Zero-Shot Domain Transfer with Text-to-Text Models
F Liu, Q Liu, S Bannur, F Pérez-García, N Usuyama, S Zhang, T Naumann, ...
arXiv preprint arXiv:2303.13386, 2023
12023
Multi-institution encrypted medical imaging AI validation without data sharing
A Soin, P Bhatu, R Takhar, N Chandran, D Gupta, J Alvarez-Valle, ...
arXiv preprint arXiv:2107.10230, 2021
12021
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
N Yildirim, H Richardson, MT Wetscherek, J Bajwa, J Jacob, MA Pinnock, ...
arXiv preprint arXiv:2402.14252, 2024
2024
RadEdit: stress-testing biomedical vision models via diffusion image editing
F Pérez-García, S Bond-Taylor, PP Sanchez, B van Breugel, DC Castro, ...
arXiv preprint arXiv:2312.12865, 2023
2023
Large Multimodal Model for Real-World Radiology Report Generation
BN Zhao, X JIANG, X Luo, Y Yang, B Li, Z Wang, J Alvarez-Valle, ...
2023
Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology
K Bouzid, H Sharma, S Killcoyne, DC Castro, A Schwaighofer, M Ilse, ...
medRxiv, 2023.08. 21.23294360, 2023
2023
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