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Investigation of the non-Markovity Spectrum as a Cognitive Processing Measure of Deep Brain Microelectrode Recordings., , , , , , , , and . BIOSIGNALS, page 144-150. SciTePress, (2011)The Automated Learning of Deep Features for Breast Mass Classification from Mammograms., , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 106-114. (2016)Virtual Microscopy with Extended Depth of Field., , and . DICTA, page 35. IEEE Computer Society, (2005)Automatic Segmentation of Enhancing Breast Tissue in Dynamic Contrast-Enhanced MR Images., , , , and . DICTA, page 124-129. IEEE Computer Society, (2007)On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration., , and . DICTA, page 190-195. IEEE Computer Society, (2010)Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure., , and . IJCNN, page 1-6. IEEE, (2012)Estimation Of Epipolar Geometry Via The Radon Transform., , and . ICASSP (2), page 497-500. IEEE, (2006)Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms., , and . ISBI, page 760-763. IEEE, (2015)Smocam: Smooth Conditional Attention Mask For 3d-Regression Models., , , , , , , , and . ISBI, page 362-366. IEEE, (2021)Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI., , , , and . ISBI, page 1057-1060. IEEE, (2019)