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
Publications
Boundary-weighted logit consistency improves calibration of segmentation networks
N. Karani, N. Dey, P. Golland
In MICCAI, 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
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
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
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
M. Ren, N. Dey, M.A. Styner, K. Botteron, G. Gerig
In NeurIPS, 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
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
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
Generative Adversarial Registration for Improved Conditional Deformable Templates
N. Dey, M. Ren, A. Dalca, G. Gerig.
In International Conference on Computer Vision (ICCV), 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
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
Group Equivariant Generative Adversarial Networks
N. Dey, A. Chen, S. Ghafurian
In International Conference on Learning Representations (ICLR), 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
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
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
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
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