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Anna Alperovich
Anna Alperovich
在 zeiss.com 的电子邮件经过验证
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引用次数
引用次数
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A taxonomy and evaluation of dense light field depth estimation algorithms
O Johannsen, K Honauer, B Goldluecke, A Alperovich, F Battisti, Y Bok, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1192017
Light field intrinsics with a deep encoder-decoder network
A Alperovich, O Johannsen, M Strecke, B Goldluecke
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 28, 15, 2018
722018
Accurate depth and normal maps from occlusion-aware focal stack symmetry
M Strecke, A Alperovich, B Goldluecke
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
682017
A variational model for intrinsic light field decomposition
A Alperovich, B Goldluecke
Asian Conference on Computer Vision, 66-82, 2016
242016
Reflection Separation in Light Fields based on Sparse Coding and Specular Flow.
A Sulc, A Alperovich, N Marniok, B Goldluecke
VMV, 2016
242016
Intrinsic Light Field Decomposition and Disparity Estimation with a Deep Encoder-Decoder Network
BG Anna Alperovich, Ole Johannsen
IEEE European Signal Processing Conference (EUSIPCO), 2018
16*2018
Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging
T Giannantonio, A Alperovich, P Semeraro, M Atzori, X Zhang, C Hauger, ...
Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis …, 2023
122023
An epipolar volume autoencoder with adversarial loss for deep light field super-resolution
M Zhu, A Alperovich, O Johannsen, A Sulc, B Goldluecke
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
92019
Shadow and specularity priors for intrinsic light field decomposition
A Alperovich, O Johannsen, M Strecke, B Goldluecke
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018
82018
Localizing neurosurgical instruments across domains and in the wild
M Philipp, A Alperovich, M Gutt-Will, A Mathis, S Saur, A Raabe, ...
Medical Imaging with Deep Learning, 2021
72021
Synthetic data generation for optical flow evaluation in the neurosurgical domain
M Philipp, N Bacher, J Nienhaus, L Hauptmann, L Lang, A Alperovich, ...
Current directions in biomedical engineering 7 (1), 67-71, 2021
72021
Digital core repository coupled with machine learning as a tool to classify and assess petrophysical rock properties
V Hébert, T Porcher, V Planes, M Léger, A Alperovich, B Goldluecke, ...
72020
Dynamic CNNs using uncertainty to overcome domain generalization for surgical instrument localization
M Philipp, A Alperovich, M Gutt-Will, A Mathis, S Saur, A Raabe, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
62022
Integrating hyperspectral imaging in an existing intra-operative environment for detection of intrinsic brain tumors
R Vandebriel, S Luthman, K Vunckx, M Jayapala, W Charle, L Solie, ...
Advanced biomedical and clinical diagnostic and surgical guidance systems …, 2023
52023
Robust tumor segmentation with hyperspectral imaging and graph neural networks
M Lotfy, A Alperovich, T Giannantonio, B Barz, X Zhang, F Holm, N Navab, ...
arXiv preprint arXiv:2311.11782, 2023
12023
Co-design of optical filter and fluorescence applications using artificial intelligence
S Saur, M Wiltbach, A Freytag, A Alperovich
US Patent App. 18/571,021, 2024
2024
Robust tissue differentiation in head and neck cancer: ex-vivo study with hyperspectral imaging and convolutional neural networks
M Lotfy, X Zhang, C Hauger, T Giannantonio, A Alperovich, F Holm, ...
Optics in Health Care and Biomedical Optics XIII 12770, 480-491, 2023
2023
Method for a machine learning system for surgery assistance
S Saur, A Alperovich, A Freytag
US Patent App. 18/319,046, 2023
2023
DEVELOPMENT OF 2 COMPLEMENTARY INNOVATIVE APPROACHES FOR REAL-TIME, LABEL-FREE INTRAOPERATIVE TUMOR DETECTION TO ENHANCE EXTENT OF RESECTION OF LOW GRADE GLIOMAS.
S De Vleeschouwer, E Cuypers, L Van Hese, T Theys, R Heeren, ...
Neuro-Oncology 25, 2023
2023
Hyperspektral-Bildgebung bei Plattenepithel-Karzinomen des Kopf-Hals-Bereichs–Klinische Implementation und erste Ergebnisse einer ex-vivo Anwendung
F Böhm, C Schwamborn, A Alperovich, X Zhang, T Giannantonio, ...
Laryngo-Rhino-Otologie 102 (S 02), 2023
2023
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