Neel Dey

Orcid: 0000-0003-1427-6406

According to our database1, Neel Dey authored at least 26 papers between 2019 and 2024.

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

Timeline

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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
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images.
CoRR, 2023

Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering.
CoRR, 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

E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI.
CoRR, 2023

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Data Consistent Deep Rigid MRI Motion Correction.
Proceedings of the Medical Imaging with Deep Learning, 2023

E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI.
Proceedings of the Medical Imaging with Deep Learning, 2023

Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study.
Proceedings of the Applications of Medical Artificial Intelligence, 2023

Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction.
Medical Image Anal., 2022

Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization.
IEEE Trans. Medical Imaging, 2021

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Point-Supervised Segmentation Of Microscopy Images And Volumes Via Objectness Regularization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data.
Proceedings of the Information Processing in Medical Imaging, 2021

Group Equivariant Generative Adversarial Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Generative Adversarial Registration for Improved Conditional Deformable Templates.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

2019
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.
Medical Image Anal., 2019

Multi-modal image fusion for multispectral super-resolution in microscopy.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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