Herman Verinaz-Jadan

15 papers Misc 3Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy.
CoRR
Su Yan, Clara Rodrigo Gonzalez, Vincent C. H. Leung, Herman Verinaz-Jadan, Jiakang Chen, Matthieu Toulemonde, Kai Riemer, Jipeng Yan, Clotilde Vié, Qingyuan Tan, Peter D. Weinberg, Pier Luigi Dragotti, Kevin G. Murphy, Meng-Xing Tang
2025 — conf
Cross-Modal Self-Supervised Adversarial Learning for MA-XRF Super-Resolution.
EUSIPCO
Herman Verinaz-Jadan, Su Yan, Catherine Higgitt, Pier Luigi Dragotti
2025 J jnl
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal consistency.
Medical Image Anal.
Su Yan, Clotilde Vié, Marcelo Lerendegui, Herman Verinaz-Jadan, Ji Peng Yan, Martina Tashkova, James Burn, Bingxue Wang, Gary S. Frost, Kevin G. Murphy, Mengxing Tang
2024 J jnl
Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging.
IEEE Trans. Image Process.
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti
2023 J jnl
A Fast Automatic Method for Deconvoluting Macro X-Ray Fluorescence Data Collected From Easel Paintings.
IEEE Trans. Computational Imaging
Su Yan, Junjie Huang, Herman Verinaz-Jadan, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti
2023 J jnl
Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy.
IEEE Trans. Computational Imaging
Herman Verinaz-Jadan, Carmel L. Howe, Pingfan Song, Flavie Lesept, Josef Kittler, Amanda J. Foust, Pier Luigi Dragotti
2023 Misc conf
Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings.
ICASSP
Su Yan, Herman Verinaz-Jadan, Junjie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti
2022 J jnl
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches.
IEEE Signal Process. Mag.
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti
2022 J jnl
Shift-Invariant-Subspace Discretization and Volume Reconstruction for Light Field Microscopy.
IEEE Trans. Computational Imaging
Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti
2021 — conf
Deep Learning For Light Field Microscopy Using Physics-Based Models.
ISBI
Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti
2021 J jnl
Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches.
CoRR
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti
2021 Misc conf
Model-Inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization.
ICASSP
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti
2021 J jnl
Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization.
CoRR
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti
2020 J jnl
3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images.
IEEE Trans. Computational Imaging
Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Peter Quicke, Amanda J. Foust, Pier Luigi Dragotti
2020 Misc conf
Volume Reconstruction for Light Field Microscopy.
ICASSP
Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti