| Fully automatic breast segmentation in 3D breast MRI L Wang, B Platel, T Ivanovskaya, M Harz, HK Hahn 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1024-1027, 2012 | 66 | 2012 |
| An artificial intelligence–based chest X-ray model on human nodule detection accuracy from a multicenter study F Homayounieh, S Digumarthy, S Ebrahimian, J Rueckel, BF Hoppe, ... JAMA Network Open 4 (12), e2141096-e2141096, 2021 | 61 | 2021 |
| Principles and methods for automatic and semi-automatic tissue segmentation in MRI data L Wang, T Chitiboi, H Meine, M Günther, HK Hahn Magnetic Resonance Materials in Physics, Biology and Medicine 29 (2), 95-110, 2016 | 55 | 2016 |
| Fully automated segmentation of the pectoralis muscle boundary in breast MR images L Wang, K Filippatos, O Friman, HK Hahn Medical Imaging 2011: Computer-Aided Diagnosis 7963, 796309, 2011 | 49 | 2011 |
| Intrahepatic vascular anatomy in rats and mice—variations and surgical implications C Sänger, A Schenk, LO Schwen, L Wang, F Gremse, S Zafarnia, ... PloS one 10 (11), e0141798, 2015 | 40 | 2015 |
| An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images T Ivanovska, R Laqua, L Wang, A Schenk, JH Yoon, K Hegenscheid, ... Computerized Medical Imaging and Graphics 48, 9-20, 2016 | 39 | 2016 |
| A level set based framework for quantitative evaluation of breast tissue density from MRI data T Ivanovska, R Laqua, L Wang, V Liebscher, H Völzke, K Hegenscheid PloS one 9 (11), e112709, 2014 | 27 | 2014 |
| Segmentation of malignant lesions in 3D breast ultrasound using a depth‐dependent model T Tan, A Gubern‐Mérida, C Borelli, R Manniesing, J van Zelst, L Wang, ... Medical physics 43 (7), 4074-4084, 2016 | 19 | 2016 |
| Algorithmically generated rodent hepatic vascular trees in arbitrary detail LO Schwen, W Wei, F Gremse, J Ehling, L Wang, U Dahmen, T Preusser Journal of theoretical biology 365, 289-300, 2015 | 16 | 2015 |
| Towards accurate segmentation of fibroglandular tissue in breast MRI using fuzzy c-means and skin-folds removal M Razavi, L Wang, A Gubern-Mérida, T Ivanovska, H Laue, ... International Conference on Image Analysis and Processing, 528-536, 2015 | 13 | 2015 |
| Segmentation and separation of venous vasculatures in liver CT images L Wang, C Hansen, S Zidowitz, HK Hahn Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90350Q, 2014 | 13 | 2014 |
| Breast segmentation in MRI: quantitative evaluation of three methods A Gubern-Mérida, L Wang, M Kallenberg, R Martí, HK Hahn, ... Medical Imaging 2013: Image Processing 8669, 86693G, 2013 | 12 | 2013 |
| Fast automated segmentation of femoral heads in fluoroscopic x-ray images L Wang, M Kohnen, O Friman, HK Hahn 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 12 | 2011 |
| Segmentation of hepatic artery in multi-phase liver CT using directional dilation and connectivity analysis L Wang, AK Schnurr, S Zidowitz, J Georgii, Y Zhao, M Razavi, M Schwier, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97851P, 2016 | 11 | 2016 |
| Comparison of methods for current-to-prior registration of breast DCE-MRI Y Diez, A Gubern-Mérida, L Wang, S Diekmann, J Martí, B Platel, ... International Workshop on Digital Mammography, 689-695, 2014 | 11 | 2014 |
| Fast implementations of the levelset segmentation method with bias field correction in MR images: full domain and mask-based versions T Ivanovska, R Laqua, L Wang, H Völzke, K Hegenscheid Iberian Conference on Pattern Recognition and Image Analysis, 674-681, 2013 | 10 | 2013 |
| A fast global variational bias field correction method for MR images T Ivanovska, L Wang, R Laqua, K Hegenscheid, H Völzke, V Liebscher 2013 8th International Symposium on Image and Signal Processing and Analysis …, 2013 | 9 | 2013 |
| Symmetry-based detection and diagnosis of DCIS in breast MRI A Srikantha German Conference on Pattern Recognition, 255-260, 2013 | 9 | 2013 |
| A robust and extendable framework towards fully automated diagnosis of nonmass lesions in breast DCE-MRI L Wang, M Harz, T Boehler, B Platel, A Homeyer, HK Hahn 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 129-132, 2014 | 7 | 2014 |
| A fully automatic method for nipple detection in 3D breast ultrasound images L Wang, F Zoehrer, O Friman, H Hahn International Journal of Computer Assisted Radiology and Surgery 6, S191-S192, 2011 | 6 | 2011 |
Horst Karl HahnInstitute Director, Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, Germany在 mevis.fraunhofer.de 的电子邮件经过验证
