Expertini Research Research

Browse Research Papers

3,422+ open-access research outputs.

โœ• Clear
๐Ÿ” brian quanz ๐Ÿ“‚ Engineering
Showing 3422 results for "brian quanz" in Engineering
Engineering Preprint PDF DOI

Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?

L.L.T.C. Jansen, E. Petri, M. van Berkel, W.P.M.H. Heemels ยท 2026

Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the route to practical nuโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

Wenzhi Bai, Yituo Guo, Bhaskar Basu, Andrew Weightman, Zhenhong Li ยท 2026

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam ยท 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hinโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Sparsity-Aware Event-Driven Impulse Radio Transceivers for Reliable Neuromorphic Inference

Zhengzhong Guan, Jiaying Li, Kanghua Li, Bojun Cheng, Hong Xing ยท 2026

The growing number of Internet-of-Things (IoT) based artificial intelligence (AI) applications deployed at resource-constrained network edge call for ultra-reliable and low-latency data processing pipโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

Anam Hashmi, Mayug Maniparambil, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor ยท 2026

The emergence of large-scale pretrained foundation models has transformed computer vision, enabling strong performance across diverse downstream tasks. However, their potential for physics-based inverโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Monolithically Integrated VO$_2$ Mott Oscillators for Energy-Efficient Spiking Neurons

Fabio Bersano, Cyrille Masserey, Vanessa Conti, Andrea Iaconeta, Niccolo' Martinolli, Ehsan Ansari, Anna Varini, Igor Stolichnov, Adrian Mihai Ionescu ยท 2026

Brain-inspired non-Boolean computing offers intrinsic error tolerance and parallelism, but its practical deployment is limited by the lack of compact, energy-efficient spiking hardware compatible withโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Harmonizing MR Images Across 100+ Scanners: Multi-site Validation with Traveling Subjects and Real-world Protocols

Savannah P. Hays, Lianrui Zuo, Muhammad Faizyab Ali Chaudhary, Kathleen M. Bartz, Samuel W. Remedios, Jinwei Zhang, Jiachen Zhuo, Murat Bilgel, Shiv Saidha, Ellen M. Mowry, Scott D. Newsome, Jerry L. Prince, Blake E. Dewey, Aaron Carass ยท 2026

Reliable harmonization of heterogeneous magnetic resonance~(MR) image datasets, especially those acquired in pragmatic clinical trials, is critical to advance multi-center neuroimaging studies and traโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula, Karthik Seemakurthy ยท 2026

The scarcity of labeled clinical data in oncology makes Few-Shot Learning (FSL) a critical framework for Computer Aided Diagnostics, but we observed that standard Prototypical Networks often struggle โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Structured 3D-SVD: A Practical Framework for the Compression and Reconstruction of Biological Volumetric Images

Mario Aragones Lozano, Oscar Romero, Antonio Leon ยท 2026

This work introduces Structured 3D-SVD as a practical framework for the reconstruction, compression, and analysis of biological volumetric data. Inspired by the logic of matrix singular value decomposโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction

Dingyi Zhang, Ruiying Liu, Yun Wang ยท 2026

The accurate quantification of brain age from MRI has emerged as an important biomarker of brain health. However, existing approaches are often restricted to narrow age ranges and single-modality MRI โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset

Prabin Bohara, Pralhad Kumar Shrestha, Arpan Rai, Usha Poudel Lamgade, Confidence Raymond, Dong Zhang, Aondona Lorumbu, Craig Jones, Mahesh Shakya, Bishesh Khanal, Pratibha Kulung ยท 2026

Accurate automatic brain tumor segmentation in Low and Middle-Income (LMIC) countries is challenging due to the lack of defined national imaging protocols, diverse imaging data, extensive use of low-fโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Eccentricity Confound in EEG-based Visual Attention Decoding from Gaze-Fixated Neural Tracking of Motion in Natural Videos

Yuanyuan Yao, Celina Salamanca Gonzalez, Simon Geirnaert, Celine R. Gillebert, Tinne Tuytelaars, Alexander Bertrand ยท 2026

Objective. Decoding visual attention from brain signals during naturalistic video viewing has emerged as a new direction in brain-computer interface research. Current methods assume that stronger coupโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

Hibatallah Meliani, Khadija Slimani, Samira Khoulji ยท 2026

To navigate a space, the brain makes an internal representation of the environment using different cells such as place cells, grid cells, head direction cells, border cells, and speed cells. All theseโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Generative Modeling of Complex-Valued Brain MRI Data

Marco Schlimbach, Moritz Rempe, Jessica Mnischek, Lukas T. Rotkopf, Jens Weingarten, Jens Kleesiek, Kevin Kroninger ยท 2026

Objective. Standard Magnetic Resonance Imaging (MRI) reconstruction pipelines discard phase information captured during acquisition, despite evidence that it encodes tissue properties relevant to tumoโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Batch Effects In Brain Foundation Model Embeddings

Ye Tao, Bradley T. Baker, Yu Wu, Anand D. Sarwate, Sandeep Panta, Sergey Plis, Vince D. Calhoun ยท 2026

Foundation models show strong potential for large-scale, high-dimensional biomedical applications, yet their ability to capture relevant neurobiological characteristics remains underexplored. We systeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems

Alexandre Muzy (ILLS) ยท 2026

Brain digital twins aim to provide faithful, individualized computational representations of brains as dynamical systems, enabling mechanistic understanding and supporting prediction of clinical interโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Social Learning Strategies for Evolved Virtual Soft Robots

K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen, Giorgia Nadizar, Eric Medvet ยท 2026

Optimizing the body and brain of a robot is a coupled challenge: the morphology determines what control strategies are effective, while the control parameters influence how well the morphology performโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A Control-Referenced Tri-Channel OECT Receiver for Hybrid Molecular Communication Toward Brain Organoid Interfaces

Hongbin Ni, Ozgur B. Akan ยท 2026

Brain organoid interfaces that seek neuromodulator readout benefit from chemical receivers with molecular specificity and tolerance to drift. This paper presents a receiver-centric theoretical study oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni ยท 2026

Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure and semantic fideliโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Perception Is All You Need: A Neuroscience Framework for Low Cost Sensorless Gaze in HRI

Mason Kadem ยท 2026

Gaze-following in child-robot interaction improves attention, recall, and learning, but requires expensive platforms (\$30,000+), sensors, algorithms, and raises privacy concerns. We propose a framewoโ€ฆ

Read Paper โ†’
Page 1 of 172 Next โ†’