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ISBIU VirginiaBrain imaging & connectomics

BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration

BrainTAP predicts brain disorders by adaptively distilling cross-modal connectivity features and selectively fusing expert anatomical priors to outperform baselines on the ABCD dataset.

Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan and 1 more

Published Jan 15, 2026 · 0 citations

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57%Worth a look
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NeurIPS 2026Georgia Institute of TechnologyTesla, Inc.Georgia Institute Of TechnologyBrain imaging & connectomics

DBPS: Doob-Bridge Posterior Sampler with Balanced Endpoint-Population Control for Unpaired Neurodegenerative Pathology Transport

Xinyu Guo, Jiajia Xie, Xin He, Christophe Ye and 3 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U North Carolina at Chapel HillU North Carolina, Chapel HillBrain imaging & connectomics

MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution

Zhixuan Zhou, Tingting Dan, Guorong Wu

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Lappeenranta University of TechnU Copenhagen, Denmark and LUT UnBrain imaging & connectomics

fNIRSAtlas: A Large-Scale Benchmark for Functional Near-Infrared Spectroscopy Classification

Kalle Mäkelä, Tuukka Ruotsalo

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026southern university of science aShenzhenSouthern University of Science aSamsungBrain imaging & connectomics

FlatClip: Reusing Image Foundation Models for fMRI Representation Learning via Cortical Flatmaps

Mo WANG, Wenhao Ye, Zihan Ning, Jiayu Zuo and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026Korea UniveristyIndependent ResearcherKoreaBrain imaging & connectomics

Cortically-Resolved Recurrent Architecture for fMRI

Da-Woon Heo, Kwanseok Oh, Adrián Ayuso-Muñoz, Heung-Il Suk

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026U Texas Health Science Center atU Texas Health Center at HousonGeorgia Institute of TechnologyU Houston - Clear LakeTongjiBrain imaging & connectomics

OpenBrain: An Auditable Generated-Label Release for Whole-Brain MRI Parcellation

Qizhen Lan, Yu-Chun Hsu, YUXIANG WEI, Lijing Zhu and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Texas Health Science Center atU Alabama at BirminghamU PittsburghThe University of Texas MD AnderU Dublin, Trinity CollegeBrain imaging & connectomics

BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning

Qizhen Lan, Mengchen Fan, Hang Zhang, Jingwei Duan and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U North Carolina at Chapel HillLSEUNC Chapel HillBrain imaging & connectomics

FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model

FAST-Brain unifies flow-aligned generation, graph convolutions, and transformers to model rs-fMRI directly, with approximation error scaling by intrinsic dimension rather than ambient dimension, achieving state-of-the-art functional and effective connectivity recovery.

Shucheng Liu, Chengchun Shi, Kai Zhang, Hongtu Zhu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
71%Highly rated
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NeurIPS 2026Xi'an JiaotongXi’an JiaotongBrain imaging & connectomics

Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis

IBAHGT unifies high-order and long-range brain network dependencies via information bottleneck guidance to achieve precise, minimally redundant disease diagnosis.

Jingxi Feng, Xudong Chen, Yifan Zhang, Heming Xu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
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