17 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pennsylvania State UniversityUS3 papers
- CURE Children’s Hospital of UgandaUG2 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- New York UniversityUS2 papers
- Aix-Marseille UniversitéFR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
- Boston Children's HospitalUS1 paper
- Brigham and Women's HospitalUS1 paper
- Centre d'Imagerie BioMedicaleCH1 paper
- Collège de FranceFR1 paper
8 papers
High-Density Multi-Depth Human Recordings Using 45 mm Long Neuropixels Probes
Daril E. Brown, Elizaveta Okorokova, Carrina Iacobacci +7
Neuropixels probes, initially developed for use in small animal models, have transformed basic neuroscience by enabling high-density, single-cell resolution recordings across multi…
Statistical Characterization of Entanglement Degradation Under Markovian Noise in Composite Quantum Systems
Nunzia Cerrato, Sauro Succi, Giacomo De Palma +1
Understanding how noise degrades entanglement is crucial for the development of reliable quantum technologies. While the Markovian approximation simplifies the analysis of noise, i…
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
Paul Weiser, Georg Langs, Wolfgang Bogner +11
Introduction: Altered neurometabolism is an important pathological mechanism in many neurological diseases and brain cancer, which can be mapped non-invasively by Magnetic Resonanc…
Learning multi-scale local conditional probability models of images
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat +1
Deep neural networks can learn powerful prior probability models for images, as evidenced by the high-quality generations obtained with recent score-based diffusion methods. But th…
Deep MR Image Super-Resolution Using Structural Priors
Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff +1
High resolution magnetic resonance (MR) images are desired for accurate diagnostics. In practice, image resolution is restricted by factors like hardware, cost and processing const…
Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans
Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin C. Warf +3
Objective: Hydrocephalus is a medical condition in which there is an abnormal accumulation of cerebrospinal fluid (CSF) in the brain. Segmentation of brain imagery into brain tissu…
Testing the Odds of Inherent versus Observed Over-dispersion in Neural Spike Counts Odds of Inherent versus Observed Over-dispersion
Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch +2
The repeated presentation of an identical visual stimulus in the receptive field of a neuron may evoke different spiking patterns at each trial. Probabilistic methods are essential…
Separating Putative Pathogens from Background Contamination with Principal Orthogonal Decomposition: Evidence for Leptospira in the Ugandan Neonatal Septisome
Steven J. Schiff, Julius Kiwanuka, Gina Riggio +14
Neonatal sepsis (NS) is responsible for over a 1 million yearly deaths worldwide. In the developing world NS is often treated without an identified microbial pathogen. Amplicon seq…