Mehndiratta, A.[Amit]
* 2020: Segmentation of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms
* 2025: Variable Handle-Resistance Based Joystick for Post-stroke Neurorehabilitation Training of Hand and Wrist in Upper Extremities
Mehner, W.[Wolfgang]
* 2015: Robust Marker-Based Tracking for Measuring Crowd Dynamics
Mehnert, A.
* 2008: Fast, Segmentation-Free, Method for Constructing a Biomechanical Model of the Breast from DCE-MRI Data, A
* 2010: Improving the Discrimination of Benign and Malignant Breast MRI Lesions Using the Apparent Diffusion Coefficient
* 2010: Two Non-linear Parametric Models of Contrast Enhancement for DCE-MRI of the Breast Amenable to Fitting Using Linear Least Squares
* 2013: Mutual information-based binarisation of multiple images of an object: An application in medical imaging
* 2014: Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks
* 2014: Structural Texture Approach for Characterising Malignancy Associated Changes in Pap Smears Based on Mean-Shift and the Watershed Transform, A
Includes: Mehnert, A. Mehnert, A.[Andrew]
Mehnert, A.J.H.
* 1997: Improved Seeded Region Growing Algorithm, An
* 1999: On Computing the Exact Euclidean Distance Transform on Rectangular and Hexagonal Grids
* 2009: Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast
* 2010: Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
* 2010: On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration
Includes: Mehnert, A.J.H. Mehnert, A.J.H.[Andrew J.H.]
Mehnert, J.
* 2013: Improving the Performance of Brain-Computer Interface Using Multi-modal Neuroimaging
* 2013: Integration of Multivariate Data Streams With Bandpower Signals
* 2015: Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI
* 2020: Freezenet: Full Performance by Reduced Storage Costs
* 2022: Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs
* 2024: CNN Mixture-of-depths
* 2025: Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
Includes: Mehnert, J. Mehnert, J.[Jan] Mehnert, J.[Jens]
7 for Mehnert, J.