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1.
Mustafa, Q. et al.: In vivo three-dimensional Raster Scan Optoacoustic Mesoscopy using Frequency Domain Inversion. IEEE Trans. Med. Imaging 40, 3349-3357 (2021)
2.
Chowdhury, S.P. ; Prakash, J. ; Karlas, A. ; Jüstel, D. & Ntziachristos, V.: A synthetic total impulse response characterization method for correction of hand-held optoacoustic images. IEEE Trans. Med. Imaging 39, 3218-3230 (2020)
3.
Ding, L ; Razansky, D.* & Deán-Ben, X.L.*: Model-based reconstruction of large three-dimensional optoacoustic datasets. IEEE Trans. Med. Imaging 39, 2931-2940 (2020)
4.
Knauer, N. ; Deán-Ben, X.L.* & Razansky, D.*: Spatial compounding of volumetric data enables freehand optoacoustic angiography of large-scale vascular networks. IEEE Trans. Med. Imaging 39, 1160-1169 (2020)
5.
Nitkunanantharajah, S. et al.: Skin surface detection in 3D optoacoustic mesoscopy based on dynamic programming, IEEE Trans. Med. Imaging 39, 458-467 (2020)
6.
Olefir, I. et al.: Deep learning-based spectral unmixing for optoacoustic imaging of tissue oxygen saturation. IEEE Trans. Med. Imaging 39, 3643-3654 (2020)
7.
Özbek, A. ; Dean-Ben, X.L. & Razansky, D.: Compressed optoacoustic sensing of volumetric cardiac motion. IEEE Trans. Med. Imaging 39, 3250-3255 (2020)
8.
Tomczak, A.* et al.: Multi-task multi-domain learning for digital staining and classification of leukocytes. IEEE Trans. Med. Imaging 40, Special Issue on Annotation-efficient Deep Learning for Medical Imaging, 2897-2910 (2020)
9.
Aguirre Bueno, J. et al.: Motion quantification and automated correction in clinical RSOM. IEEE Trans. Med. Imaging 38, 1340-1346 (2019)
10.
Esposito, M.* et al.: Total variation regularization of pose signals with an application to 3D freehand ultrasound. IEEE Trans. Med. Imaging 38, 2245-2258 (2019)
11.
Gradl, R.* et al.: Dynamic in vivo chest x-ray dark field imaging in mice. IEEE Trans. Med. Imaging 38, 649-656 (2019)
12.
Lipkova, J.* et al.: Personalized radiotherapy design for glioblastoma: Integrating mathematical tumor models, multimodal scans, and bayesian inference. IEEE Trans. Med. Imaging 38, 1875-1884 (2019)
13.
He, H. et al.: Importance of ultrawide bandwidth for optoacoustic esophagus imaging. IEEE Trans. Med. Imaging 37, 1162-1167 (2018)
14.
Olefir, I. ; Tzoumas, S.* ; Yang, H. & Ntziachristos, V.: A bayesian approach to eigenspectra optoacoustic tomography. IEEE Trans. Med. Imaging 37, 2070-2079 (2018)
15.
Ding, L et al.: Constrained inversion and spectral unmixing in multispectral optoacoustic tomography. IEEE Trans. Med. Imaging 36, 1676-1685 (2017)
16.
Ding, L ; Dean-Ben, X.L. & Razansky, D.: Efficient three-dimensional model-based reconstruction scheme for arbitrary optoacoustic acquisition geometries. IEEE Trans. Med. Imaging 36, 1858-1867 (2017)
17.
Mercep, E. ; Dean-Ben, X.L. & Razansky, D.: Combined pulse-echo ultrasound and multispectral optoacoustic tomography with a multi-segment detector array. IEEE Trans. Med. Imaging 36, 2129-2137 (2017)
18.
Schwarz, M. et al.: Optoacoustic dermoscopy of the human skin: Tuning excitation energy for optimal detection bandwidth with fast and deep imaging in vivo. IEEE Trans. Med. Imaging 36, 1287-1296 (2017)
19.
Storath, M.* et al.: Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Trans. Med. Imaging 36, 74-85 (2017)
20.
Baust, M.* et al.: Combined tensor fitting and TV regularization in diffusion tensor imaging based on a Riemannian manifold approach. IEEE Trans. Med. Imaging 35, 1972-1989 (2016)