Neel Dey

Neel Dey

Postdoctoral Researcher in Medical Machine Learning

Publications

Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis
N. Dey, B. Billot, H. E. Wong, C. J. Wang, M. Ren, P. E. Grant, A. V. Dalca, P. Golland
In arXiv:2411.02372 cs.CV, 2024

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Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
A. Elaldi, G. Gerig, N. Dey
In NeurIPS: Advances in Neural Information Processing Systems, 2024

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Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
V. Gopalakrishnan, N. Dey, P. Golland
In CVPR: Computer Vision and Pattern Recognition, 2024

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AnyStar: Domain randomized universal star-convex 3D instance segmentation
N. Dey, S. M. Abulnaga, B. Billot, E. A. Turk, P. E. Grant, A. V. Dalca, P. Golland
In WACV, 2024

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Network conditioning for synergistic learning on partial annotations
B. Billot, N. Dey, E. A. Turk, P. E. Grant, P. Golland
In Medical Imaging with Deep Learning (MIDL), 2024

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SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images
B. Billot, N. Dey, D. Moyer, M. Hoffmann, E. A. Turk, B. Gagoski, P. E. Grant, P. Golland
In IEEE Transactions on Medical Imaging, 2023

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Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series
Z. Chix, Z. Congx, C. J. Wang, Y. Liu, E. A. Turk, P. E. Grant, S. M. Abulnaga, P. Golland, N. Dey (x - joint-first authors).
In Medical Imaging meets NeurIPS workshop, 2023

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Boundary-weighted logit consistency improves calibration of segmentation networks
N. Karani, N. Dey, P. Golland
In MICCAI, 2023

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E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
A. Elaldi, G. Gerig, N. Dey
In Medical Imaging with Deep Learning (MIDL), 2023

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Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks
A. Nejatbakhsh, N. Dey, V. Venkatachalam, E. Yemini, L. Paninski, E. Varol
In Information Processing in Medical Imaging (IPMI), 2023

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Data Consistent Deep Rigid MRI Motion Correction
N. M. Singh, N. Dey, M. Hoffmann, B. Fischl, E. Adalsteinsson, R. Frost, A. V. Dalca, P. Golland
In Medical Imaging with Deep Learning (MIDL), 2023

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Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
M. Ren, N. Dey, M.A. Styner, K. Botteron, G. Gerig
In NeurIPS, 2022

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Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction
B. Zhou, J. Schlemper, N. Dey, S. S. M. Salehi, K. Sheth, C. Liu, J. S. Duncan, M. Sofka
In Medical Image Analysis, 2022

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ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
N. Dey, J. Schlemper, S.S.M. Salehi, B. Zhou, G. Gerig, M. Sofka
In MICCAI, 2022

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DSFormer: A dual-domain self-supervised transformer for accelerated multi-contrast mri reconstruction
B. Zhou, N. Dey, J. Schlemper, S.S.M. Salehi, C. Liu, J.S. Duncan, M. Sofka
In WACV, 2022

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Generative Adversarial Registration for Improved Conditional Deformable Templates
N. Dey, M. Ren, A. Dalca, G. Gerig.
In International Conference on Computer Vision (ICCV), 2021

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Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
M. Renx, H. Kimx, N. Dey, G. Gerig (x - joint-first authors).
In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

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Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
A. Elaldix, N. Deyx, H. Kim, G. Gerig (x - joint-first authors).
In Information Processing in Medical Imaging (IPMI), 2021

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Group Equivariant Generative Adversarial Networks
N. Dey, A. Chen, S. Ghafurian
In International Conference on Learning Representations (ICLR), 2021

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Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
M.Renx, N. Deyx, J. Fishbaugh, G. Gerig (x - joint-first authors).
In IEEE Transactions on Medical Imaging (TMI), 2021

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Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
S. Li, N. Dey, K. Bermond, L. von der Emde, C. A. Curcio, T. Ach, G. Gerig
In International Symposium on Biomedical Imaging (ISBI), 2021

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Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
G. Gisbert, N. Dey, H. Ishikawa, J. Schuman, J. Fishbaugh, G. Gerig
In MICCAI Ophthalmic Medical Image Analysis (OMIA), 2020

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Robust non-negative tensor factorization, diffeomorphic motion correction, and functional statistics to understand fixation in fluorescence microscopy
N. Dey, J. Messinger, R.T. Smith, C.A. Curcio, G. Gerig
In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019

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Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration
N. Dey, S. Hong, T. Ach, Y. Koutalos, C.A. Curcio, R.T. Smith, G. Gerig
In Medical Image Analysis, 2019

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Multi-modal image fusion for multispectral super-resolution in microscopy
N. Dey, S. Li, K. Bermond, R. Heintzmann, C.A. Curcio, G. Gerig
In SPIE Medical Imaging, 2019

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