Daniel Haehn
University of Massachusetts Boston(US)
Publications by Year
Research Areas
Cell Image Analysis Techniques, Data Visualization and Analytics, Medical Image Segmentation Techniques, Functional Brain Connectivity Studies, Digital Imaging for Blood Diseases
Most-Cited Works
- → Regional Infant Brain Development: An MRI-Based Morphometric Analysis in 3 to 13 Month Olds(2012)90 cited
- → Evaluating ‘Graphical Perception’ with CNNs(2018)68 cited
- → Design and Evaluation of Interactive Proofreading Tools for Connectomics(2014)51 cited
- → NeuroBlocks – Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects(2015)50 cited
- → Altered Structural Brain Networks in Tuberous Sclerosis Complex(2015)46 cited
- → How Machine Learning is Powering Neuroimaging to Improve Brain Health(2022)45 cited
- → Peax: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning(2020)42 cited
- → Scalable Interactive Visualization for Connectomics(2017)29 cited
- → MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision(2024)27 cited
- → Guided Proofreading of Automatic Segmentations for Connectomics(2018)27 cited