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Benjamin Hou
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Evaluating reinforcement learning agents for anatomical landmark detection
A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ...
Medical image analysis 53, 156-164, 2019
1842019
Geomstats: a Python package for Riemannian geometry in machine learning
N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ...
Journal of Machine Learning Research 21 (223), 1-9, 2020
892020
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
B Hou, B Khanal, A Alansary, S McDonagh, A Davidson, M Rutherford, ...
IEEE Transactions on Medical Imaging, 2018
882018
Natural synthetic anomalies for self-supervised anomaly detection and localization
HM Schlüter, J Tan, B Hou, B Kainz
European Conference on Computer Vision, 474-489, 2022
872022
Standard plane detection in 3d fetal ultrasound using an iterative transformation network
Y Li, B Khanal, B Hou, A Alansary, JJ Cerrolaza, M Sinclair, J Matthew, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
642018
Predicting slice-to-volume transformation in presence of arbitrary subject motion
B Hou, A Alansary, S McDonagh, A Davidson, M Rutherford, JV Hajnal, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
602017
Automatic view planning with multi-scale deep reinforcement learning agents
A Alansary, LL Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
592018
Ratchet: Medical transformer for chest x-ray diagnosis and reporting
B Hou, G Kaissis, RM Summers, B Kainz
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
562021
Detecting outliers with foreign patch interpolation
J Tan, B Hou, J Batten, H Qiu, B Kainz
arXiv preprint arXiv:2011.04197, 2020
542020
Context-sensitive super-resolution for fast fetal magnetic resonance imaging
S McDonagh, B Hou, A Alansary, O Oktay, K Kamnitsas, M Rutherford, ...
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017
542017
Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Q Meng, M Sinclair, V Zimmer, B Hou, M Rajchl, N Toussaint, O Oktay, ...
IEEE transactions on medical imaging 38 (12), 2755-2767, 2019
502019
Detecting outliers with poisson image interpolation
J Tan, B Hou, T Day, J Simpson, D Rueckert, B Kainz
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
462021
Ultrasound video transformers for cardiac ejection fraction estimation
H Reynaud, A Vlontzos, B Hou, A Beqiri, P Leeson, B Kainz
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
432021
Self-supervised out-of-distribution detection and localization with natural synthetic anomalies (nsa)
HM Schlüter, J Tan, B Hou, B Kainz
arXiv preprint arXiv:2109.15222 2 (5), 2021
402021
Computing CNN loss and gradients for pose estimation with Riemannian geometry
B Hou, N Miolane, B Khanal, MCH Lee, A Alansary, S McDonagh, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
332018
Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images
D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ...
IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022
292022
Feasibility of using the privacy-preserving large language model Vicuna for labeling radiology reports
P Mukherjee, B Hou, RB Lanfredi, RM Summers
Radiology 309 (1), e231147, 2023
192023
Deep learning for cardiac motion estimation: supervised vs. unsupervised training
H Qiu, C Qin, L Le Folgoc, B Hou, J Schlemper, D Rueckert
Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020
162020
Automatic shadow detection in 2d ultrasound images
Q Meng, C Baumgartner, M Sinclair, J Housden, M Rajchl, A Gomez, ...
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
142018
Introduction to geometric learning in python with geomstats
N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ...
SciPy 2020-19th Python in Science Conference, 48-57, 2020
132020
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