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Career

· Ph.D. candidate in Electrical Engineering and Computer Science, UC Berkeley2020–
· Machine Learning Engineer, Heartvista2018–

Publications (10)

Explaining VQA predictions using visual grounding and a knowledge base
Image and Vision Computing · 2020
19
cited
High fidelity deep learning‐based MRI reconstruction with instance‐wise discriminative feature matching loss
Magnetic Resonance in Medicine · 2021
19
cited
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
arXiv.org · 2023
8
cited
BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI
ISMRM Annual Meeting
3
cited
Rigorous Uncertainty Estimation for MRI Reconstruction
ISMRM Annual Meeting
3
cited
K-band: A self-supervised strategy for training deep-learning MRI reconstruction networks using only limited-resolution data
ISMRM Annual Meeting
1
cited
ResoNet: Physics Informed Deep Learning based Off-Resonance Correction Trained on Synthetic Data
ISMRM Annual Meeting
1
cited
k -band: self-supervised MRI reconstruction trained only on limited-resolution data
Rapid Automated Cardiac Imaging
2019
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
arXiv.org · 2024
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Alfredo De Goyeneche | Researcher Profile | Sotabase | Sotabase