Sandhitsu R. Das
According to our database1,
Sandhitsu R. Das
authored at least 43 papers
between 2005 and 2024.
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Bibliography
2024
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases.
CoRR, 2024
Surface-Based Parcellation and Vertex-wise Analysis of Ultra High-resolution ex vivo 7 tesla MRI in Alzheimer's disease and related dementias.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024
2023
Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI.
CoRR, 2023
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
CoRR, 2023
Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
2021
DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.
NeuroImage, 2021
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres.
CoRR, 2021
Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer's Disease Pathology Using Ex vivo Imaging.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
2020
DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.
CoRR, 2020
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2018
Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.
Proc. Natl. Acad. Sci. USA, 2018
Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting.
Proceedings of the Shape in Medical Imaging, 2018
2017
Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.
NeuroImage, 2017
Similar patterns of neural activity predict memory function during encoding and retrieval.
NeuroImage, 2017
2016
Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
NeuroImage, 2015
2014
NeuroImage, 2014
NeuroImage, 2014
Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
2012
Measuring longitudinal change in the hippocampal formation from in vivo high-resolution T2-weighted MRI.
NeuroImage, 2012
2011
A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation.
NeuroImage, 2011
Heterogeneity of functional activation during memory encoding across hippocampal subfields in temporal lobe epilepsy.
NeuroImage, 2011
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI.
NeuroImage, 2010
Bias in estimation of hippocampal atrophy using deformation-based morphometry arises from asymmetric global normalization: An illustration in ADNI 3 T MRI data.
NeuroImage, 2010
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features.
Medical Image Anal., 2010
<i>Standing on the Shoulders of Giants</i>: Improving Medical Image Segmentation via Bias Correction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Shape-based semi-automatic hippocampal subfield segmentation with learning-based bias removal.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.
NeuroImage, 2009
Ventricular Wall Thickness Analysis in Acute Myocardial Infarction and Hypertrophic Cardiomyopathy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Measuring Cortical Thickness Using An Image Domain Local Surface Model And Topology Preserving Segmentation.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
J. Multim., 2006
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006
Motion as Shape: A Novel Method for the Recognition and Prediction of Biological Motion.
Proceedings of the British Machine Vision Conference 2006, 2006
2005
Neurocomputing, 2005