| Spine detection in CT and MR using iterated marginal space learning BM Kelm, M Wels, SK Zhou, S Seifert, M Suehling, Y Zheng, D Comaniciu Medical image analysis 17 (8), 1283-1292, 2013 | 145 | 2013 |
| A discriminative model-constrained graph cuts approach to fully automated pediatric brain tumor segmentation in 3-D MRI M Wels, G Carneiro, A Aplas, M Huber, J Hornegger, D Comaniciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 109 | 2008 |
| Method and system for constructing personalized avatars using a parameterized deformable mesh K Ma, T Chen, VK Singh, YJ Chang, M Wels, G Soza US Patent 9,524,582, 2016 | 83 | 2016 |
| Ultrasound-specific segmentation via decorrelation and statistical region-based active contours G Slabaugh, G Unal, T Fang, M Wels 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 76 | 2006 |
| General purpose radiomics for multi-modal clinical research MG Wels, F Lades, A Muehlberg, M Suehling Medical imaging 2019: Computer-aided diagnosis 10950, 1047-1054, 2019 | 57 | 2019 |
| Statistical region-based segmentation of ultrasound images G Slabaugh, G Unal, M Wels, T Fang, B Rao Ultrasound in medicine & biology 35 (5), 781-795, 2009 | 56 | 2009 |
| Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography M Hammon, P Dankerl, A Tsymbal, M Wels, M Kelm, M May, M Suehling, ... European radiology 23, 1862-1870, 2013 | 51 | 2013 |
| Detection of 3D spinal geometry using iterated marginal space learning BM Kelm, SK Zhou, M Suehling, Y Zheng, M Wels, D Comaniciu Medical Computer Vision. Recognition Techniques and Applications in Medical …, 2011 | 50 | 2011 |
| Method and system for guiding catheter detection in fluoroscopic images M Wels, P Wang, T Chen, S Prummer, D Comaniciu US Patent 8,548,213, 2013 | 42 | 2013 |
| Image-based co-registration of angiography and intravascular ultrasound images P Wang, O Ecabert, T Chen, M Wels, J Rieber, M Ostermeier, ... IEEE transactions on medical imaging 32 (12), 2238-2249, 2013 | 38 | 2013 |
| FAST AND ROBUST 3D VERTEBRA SEGMENTATION USING STATISTICAL SHAPE MODELS H Mirzaalian, M Wels, T Heimann, M Kelm, M Suehling | 36 | 2013 |
| Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading M Wels, M Kelm, M Suehling, SK Zhou US Patent 9,113,781, 2015 | 35 | 2015 |
| A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction M Wels, Y Zheng, M Huber, J Hornegger, D Comaniciu Physics in Medicine & Biology 56 (11), 3269-3300, 2011 | 32 | 2011 |
| Fast and robust 3-D MRI brain structure segmentation M Wels, Y Zheng, G Carneiro, M Huber, J Hornegger, D Comaniciu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 32 | 2009 |
| Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control M Wels, BM Kelm, A Tsymbal, M Hammon, G Soza, M Sühling, ... SPIE Medical Imaging 2012: Computer-Aided Diagnosis, 831513-1-8, 2012 | 31 | 2012 |
| Performance of a deep neural network algorithm based on a small medical image dataset: incremental impact of 3D-to-2D reformation combined with novel data augmentation … V Gupta, M Demirer, M Bigelow, KJ Little, S Candemir, LM Prevedello, ... Journal of digital imaging 33, 431-438, 2020 | 29 | 2020 |
| A user interface for optimizing radiologist engagement in image data curation for artificial intelligence M Demirer, S Candemir, MT Bigelow, SM Yu, V Gupta, LM Prevedello, ... Radiology: Artificial Intelligence 1 (6), e180095, 2019 | 28 | 2019 |
| Coronary artery plaque characterization from CCTA scans using deep learning and radiomics F Denzinger, M Wels, N Ravikumar, K Breininger, A Reidelshöfer, J Eckert, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 28 | 2019 |
| Dual-energy computed tomography-based radiomics to predict peritoneal metastasis in gastric cancer Y Chen, W Xi, W Yao, L Wang, Z Xu, M Wels, F Yuan, C Yan, H Zhang Frontiers in Oncology 11, 659981, 2021 | 24 | 2021 |
| Method and system for lesion candidate detection M Kelm, M Sühling, A Tsymbal, M Wels US Patent 9,378,551, 2016 | 24 | 2016 |
