S. Mazdak Abulnaga

Orcid: 0000-0001-7902-3640

Affiliations:
  • Massachusetts Institute of Technology, Cambridge, MA, USA


According to our database1, S. Mazdak Abulnaga authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
AnyStar: Domain randomized universal star-convex 3D instance segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary.
ACM Trans. Graph., 2023

Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.
CoRR, 2023

Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series.
CoRR, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
CoRR, 2023

Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

2022
Volumetric Parameterization of the Placenta to a Flattened Template.
IEEE Trans. Medical Imaging, 2022

Symmetric Volume Maps.
CoRR, 2022

Automatic Segmentation of the Placenta in BOLD MRI Time Series.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Interactive all-hex meshing via cuboid decomposition.
ACM Trans. Graph., 2021

2019
Placental Flattening via Volumetric Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans Using Pyramid Pooling and Focal Loss.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2016
Evaluation of a Novel Mobile Exergame in a School-Based Environment.
Cyberpsychology Behav. Soc. Netw., 2016

Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016


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