Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
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
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
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
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
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
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
Group Equivariant Generative Adversarial Networks
N. Dey, A. Chen, S. Ghafurian
In International Conference on Learning Representations (ICLR), 2021
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
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
Generative Adversarial Registration for Improved Conditional Deformable Templates
N. Dey, M. Ren, A. Dalca, G. Gerig.
In International Conference on Computer Vision (ICCV), 2021
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
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
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
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
M. Ren, N. Dey, M.A. Styner, K. Botteron, G. Gerig
In NeurIPS, 2022
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
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
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
Boundary-weighted logit consistency improves calibration of segmentation networks
N. Karani, N. Dey, P. Golland
In MICCAI, 2023
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
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
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
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
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
V. Gopalakrishnan, N. Dey, P. Golland
In CVPR: Computer Vision and Pattern Recognition, 2024
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
A. Elaldi, G. Gerig, N. Dey
In NeurIPS: Advances in Neural Information Processing Systems, 2024
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
talks
Talk 1 on Relevant Topic in Your Field
In UC San Francisco, Department of Testing, 2012
Tutorial 1 on Relevant Topic in Your Field
In UC-Berkeley Institute for Testing Science, 2013
Talk 2 on Relevant Topic in Your Field
In London School of Testing, 2014
Conference Proceeding talk 3 on Relevant Topic in Your Field
In Testing Institute of America 2014 Annual Conference, 2014
teaching
Teaching experience 1
In University 1, Department, 2014
Teaching experience 2
In University 1, Department, 2015