Neuroimaging

Follow this topic Ask about this topic

Momentum

22 papers in the last four weeks, up 267% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 166

All topics

Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration
May 13, 2026Shashwat Kumar, Dominic M. Padova, Binish Narang +6Bayesian Inverse Problems Longitudinal Medical Image Analysis
Department of Biomedical Engineering, Johns Hopkins University · Department of Neuroscience, Johns Hopkins University · Kavli Neuroscience Discovery Institute, Johns Hopkins University +2
Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis
May 13, 2026Amjad Seyedi, Lifang He, Songlin Zhao +2Neural Network Interpretability Multimodal Graph Learning
Dept. of Mathematics & Operational Research University of Mons, Mons, Belgium · Dept. of Computer Science & Engineering Lehigh University, Bethlehem, PA, USA · Dept. of Industrial & Systems Engineering Lehigh University, Bethlehem, PA, USA
Bypassing Direct Reconstruction: Speech Detection from MEG via Large-Scale Audio Retrieval
May 13, 2026Boda Xiao, Bo Wang, Heping ChengNeural Decoding Neuroimaging
Center for BioMed-X Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China · Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University, Beijing, China · National Biomedical Imaging Center, State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, College of Future Technology, Peking University, Beijing, China
Feature Visualization Recovers Known Cortical Selectivity from TRIBE v2
May 13, 2026Stuart Bladon, Brinnae BentNeural Network Interpretability Visual Neuroscience
Duke University, Durham, NC, USA.
INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI
May 11, 2026Xiaotian Hu, Mingxuan Liu, Hongjia Yang +10Implicit Neural Representations Longitudinal Medical Image Analysis
Tsinghua University · University of Oxford · Sichuan University
Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos
May 10, 2026Aleksander Zamojski, Kacper Jarczak, Radoslaw RoszczykUltrasound Imaging Video Frame Selection
Warsaw Universitu of Technology Warsaw, Poland · Warsaw University of Technology Warsaw, Poland
Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration
May 10, 2026Keqi Han, Songlin Zhao, Yao Su +4Multi-Agent Collaboration Neuroimaging
Emory University · Lehigh University · Worcester Polytechnic Institute +2
PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
May 9, 2026Lujia Zhong, Yihao Xia, Shuo Huang +2Multimodal ICL Medical Diagnosis
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California · Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California · Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California
NeuroGAN-3D: Enhancing Intrinsic Functional Brain Networks via High-Fidelity 3D Generative Super-Resolution
May 8, 2026M. Moein Esfahani, Sepehr Salem Ghahfarokhi, Mohammed Alser +23D Medical Imaging Medical Image Super-Resolution
1 2 Georgia State University, Atlanta, GA, USA · 2 1 Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping
May 8, 2026Maryam Maghsoudi, Shihab ShammaBrain-Computer Interfaces Neural Decoding
University of Maryland · College Park, MD 20740
Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
May 7, 2026Minheng Chen, Chao Cao, Jing Zhang +2Multi-View Consistency Disentangled Representation Learning
Department of Computer Science and Engineering, University of Texas at Arlington, United States · School of Computing, University of Georgia, United States
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research
May 7, 2026Lujia Zhong, Yihao Xia, Jianwei Zhang +4Multi-Agent LLM Systems LLM Agent Orchestration
1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California · 2Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California · 3Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California
Learning beyond Site Bias for OOD Generalization in Brain Networks
May 7, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang +5Functional Connectivity Domain Generalization
Zhengzhou University · City University of Hong Kong
A foundation model of vision, audition, and language for in-silico neuroscience
May 5, 2026Stéphane d'Ascoli, Jérémy Rapin, Yohann Benchetrit +5Cognitive Modeling fMRI Foundation Models
FAIR at Meta · Laboratoire de Neurosciences Cognitives et Computationnelles, Ecole Normale Supérieure - PSL
TRACED: In vivo imaging of extracellular intrinsic diffusivity, tortuosity, cell size distribution and cell density in human glioma patients
May 4, 2026Joshua K. Marchant, Hong-Hsi Lee, Elizabeth R. Gerstner +2Magnetic Resonance Imaging Neuroimaging
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, United States of America · Harvard-MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America · Harvard Medical School, Boston, United States of America +2
Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI
May 2, 2026Ruthwik Reddy Doodipala, Pankaj Pandey, Pratheek Eranki +3Self-Supervised Pre-Training Self-Supervised Time Series Representation Learning
1St. Jude Children’s Research Hospital · 2The University of Memphis
A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification
Apr 29, 2026Ethan Harvey, Dennis Johan Loevlie, Amir Ali Satani +33D ViTs Convolutional Neural Networks
Department of Computer Science, Tufts University, Medford, MA, USA · Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, MA, USA · Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
ViBE: Visual-to-M/EEG Brain Encoding via Spatio-Temporal VAE and Distribution-Aligned Projection
Apr 29, 2026Ganxi Xu, Zhao-Rong Lai, Yuting Tang +6Electroencephalography Cross-Modal Alignment
Jinan University, Guangzhou, China · The First Affiliated Hospital of Jinan University, Guangzhou, China · Tsinghua University, Beijing, China +2
Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension
Apr 27, 2026Kamya Hari, Taha Binhuraib, Jin Li +2Independent Component Analysis Neuroimaging
School of Electrical and Computer Engineering, Georgia Institute of Technology · School of Psychological and Brain Sciences, Georgia Institute of Technology · Department of Linguistics, Stanford University
NeuroClaw Technical Report
Apr 27, 2026Cheng Wang, Zhibin He, Zhihao Peng +7Multi-Agent LLM Systems AI Agent Benchmarks
Electronic Engineering Department, The Chinese University of Hong Kong, China · School of Electronic Information, Northwest University, China · Department of Computer Science, Emory University, Atlanta, GA, USA +3
Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model
Apr 24, 2026Nivetha Jayakumar, Swakshar Deb, Bahram Jafrasteh +2Longitudinal Medical Image Analysis Medical Image Synthesis
Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22903, VA, USA · Department of Radiology, Weill Cornell Medical College, Cornell University, Ithaca, 14850, NY, USA · Department of Electrical and Computer Engineering, Department of Computer Science, University of Virginia, Charlottesville, 22903, VA, USA
Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity
Apr 23, 2026Deepank Girish, Yi Hao Chan, Sukrit Gupta +2Medical Imaging Foundation Models Functional Connectivity
College of Computing and Data Science, Nanyang Technological University, Singapore
Improving clinical interpretability of linear neuroimaging models through feature whitening
Apr 22, 2026Sara Petiton, Antoine Grigis, Raphaël Vock +1Medical Diagnosis Interpretable ML
University Paris-Saclay, CEA, CNRS, NeuroSpin, Baobab UMR 9027, Saclay, France
Modeling Higher-Order Brain Interactions via a Multi-View Information Bottleneck Framework for fMRI-based Psychiatric Diagnosis
Apr 20, 2026Kunyu Zhang, Qiang Li, Vince D. Calhoun +1Functional Connectivity Multi-View Learning
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands · Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA · Department of Physics and Technology, UiT - The Arctic University of Norway, Tromsø, 9019, Norway
Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
Apr 19, 2026Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula +1Prototype-Based Classification Brain Tumor Classification
Department of ECE, Amrita Vishwa Vidyapeetham, Vengal, Chennai, 601103, Tamil Nadu, India. · Hydronium Energies Limited, Bristol, London, England.
A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction
Apr 17, 2026Dingyi Zhang, Ruiying Liu, Yun WangBrain Age Prediction Neuroimaging
Department of Computer Science, Emory University, Atlanta, GA, USA · Department of Biomedical Informatics, Emory University, Atlanta, GA, USA
CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder
Apr 17, 2026Duy-Phuong Dao, Muhammad Taqiyuddin, Jahae Kim +4Latent Diffusion Models Longitudinal Medical Image Analysis
Department of Artificial Intelligence Convergence, Chonnam National University, South Korea · Department of Nuclear Medicine, Chonnam National University, South Korea · University of South Australia, Australia +2
Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration
Apr 16, 2026Geonwoo Baek, David H. Salat, Ikbeom JangAlzheimer's Disease Vision Transformer
Department of Computer Science & Engineering, Hankuk University of Foreign Studies, Seoul, Republic of Korea · Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA · Department of Radiology, Harvard Medical School, Boston, MA, USA +1
Seeing the imagined: latent functional alignment in visual imagery decoding from fMRI data
Apr 15, 2026Fabrizio Spera, Tommaso Boccato, Michal Olak +2Neural Decoding Visual Neuroscience
Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy · Tether Evo · A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA
Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining
Apr 14, 2026Junfeng Xia, Wenhao Ye, Xuanye Pan +3Medical Imaging Foundation Models Diffusion Transformer
Department of Biomedical Engineering, Southern University of Science and Technology, China · School of Biomedical Engineering, Shenzhen University, China

May 13, 2026, cs.CVJ/K move · Enter open · S save

Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration

Shashwat Kumar, Dominic M. Padova, Binish Narang, Gabrielle I. Coste+5

Department of Biomedical Engineering, Johns Hopkins University · Department of Neuroscience, Johns Hopkins University · Kavli Neuroscience Discovery Institute, Johns Hopkins University+2

Bayesian Inverse Problems Longitudinal Medical Image Analysis Neuroimaging Microscopy Image Analysis Image Inverse Problems

Open paper AskPDF arXiv

Synapses are densely packed submicron structures that dynamically reorganize during learning and memory formation. Longitudinal \textit{in vivo} imaging of fluorescently tagged synaptic receptors offers a promising opportunity to study large-scale synaptic dynamics and how these processes are disrupted in neurological disease. However, in vivo imaging with 2-photon microscopy uses low laser power and therefore suffers from low signal-to-noise ratio (SNR) and high shot noise, nonlinear tissue motion between days, nonstationary fluctuations in synaptic fluorescence, and significant blur induced by the microscope point spread function (PSF). Together, these factors make it challenging to detect and track synapses, especially in regions with high synaptic density. This paper presents a novel template-based framework for modeling synapses as varying luminance point sources that move under a nonlinear tissue deformation. Taking a unified Bayesian approach, we apply this model to microscopy data by deriving a posterior that incorporates a diffeomorphic mapping for domain warping, a Gaussian point spread function for the imaging process, and a Poisson observation model for raw photon counts. The Bayesian solution simultaneously: (1) Constructs a probabilistic template of synapse locations, (2) denoises and deconvolves the image data, (3) infers fluorescence intensities, (4) performs diffeomorphic image registration to correct for tissue motion, and (5) provides confidence regions for these parameter estimates. We demonstrate the framework on both a 2D+t simulated dataset and a 3D+t longitudinal \textit{in vivo} microscopy dataset of fluorescent synapses imaged in a mouse over two weeks.

Momentum

Related topics

Latest papers 166