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Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting diagnosis in equivocal neurological situations. However, such…

Integrating the different data modalities of cancer patients can significantly improve the predictive performance of patient survival. However, most existing methods ignore the simultaneous utilization of rich semantic features at different…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Liangrui Pan , Yijun Peng , Yan Li , Yiyi Liang , Liwen Xu , Qingchun Liang , Shaoliang Peng

Magnetic Resonance Imaging (MRI) acquisitions require extensive scan times, limiting patient throughput and increasing susceptibility to motion artifacts. Accelerated parallel MRI techniques reduce acquisition time by undersampling k-space…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Mingi Kang

The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential to assess compositional changes of the cartilage extracellular matrix. Among these…

Computer Vision and Pattern Recognition · Computer Science 2019-12-05 Alejandra Duarte , Chaitra V. Hegde , Aakash Kaku , Sreyas Mohan , José G. Raya

The visual medium (images and videos) naturally contains a large amount of information redundancy, thereby providing a great opportunity for leveraging efficiency in processing. While Vision Transformer (ViT) based models scale effectively…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Gagan Jain , Nidhi Hegde , Aditya Kusupati , Arsha Nagrani , Shyamal Buch , Prateek Jain , Anurag Arnab , Sujoy Paul

Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack…

Signal Processing · Electrical Eng. & Systems 2024-04-16 Shuaicong Hu , Yanan Wang , Jian Liu , Jingyu Lin , Shengmei Qin , Zhenning Nie , Zhifeng Yao , Wenjie Cai , Cuiwei Yang

Multi-person motion capture can be challenging due to ambiguities caused by severe occlusion, fast body movement, and complex interactions. Existing frameworks build on 2D pose estimations and triangulate to 3D coordinates via reasoning the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-18 Junkun Jiang , Jie Chen , Yike Guo

Neural Posterior Estimation (NPE) enables rapid parameter inference for complex simulators with intractable likelihoods. NPE trains an inference network to estimate a probability density over parameters given data, typically assumed to be…

Machine Learning · Computer Science 2026-05-14 Jan Boelts , Cornelius Schröder , Jonas Beck , Jakob H. Macke , Michael Deistler , Daniel Gedon

Single-shot magnetic resonance (MR) imaging acquires the entire k-space data in a single shot and it has various applications in whole-body imaging. However, the long acquisition time for the entire k-space in single-shot fast spin echo…

Image and Video Processing · Electrical Eng. & Systems 2024-09-13 Hemant Kumar Aggarwal , Sudhanya Chatterjee , Dattesh Shanbhag , Uday Patil , K. V. S. Hari

We propose a joint model of human joint detection and association for 2D multi-person pose estimation (MPPE). The approach unifies training of joint detection and association without a need for further processing or sophisticated heuristics…

Computer Vision and Pattern Recognition · Computer Science 2019-04-29 Rania Briq , Andreas Doering , Juergen Gall

T2 mapping in fetal brain MRI has the potential to improve characterization of the developing brain, especially at mid-field (0.55T), where T2 decay is slower. However, this is challenging as fetal MRI acquisition relies on multiple…

Whole-body biometric recognition is a challenging multimodal task that integrates various biometric modalities, including face, gait, and body. This integration is essential for overcoming the limitations of unimodal systems. Traditionally,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Jie Zhu , Yiyang Su , Minchul Kim , Anil Jain , Xiaoming Liu

Magnetic resonance imaging is capable of producing volumetric images without ionizing radiation. Nonetheless, long acquisitions lead to prohibitively long exams. Compressed sensing (CS) can enable faster scanning via sub-sampling with…

Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentation approaches achieve good performance on BUS images…

Computer Vision and Pattern Recognition · Computer Science 2018-06-29 Fei Xu , Min Xian , Yingtao Zhang , Kuan Huang , H. D. Cheng , Boyu Zhang , Jianrui Ding , Chunping Ning , Ying Wang

Mixture-of-Experts (MoE) models achieve remarkable performance by sparsely activating specialized experts, yet their massive parameters in experts pose significant challenges for deployment. While low-rank quantization offers a promising…

Machine Learning · Computer Science 2026-05-12 Hongyaoxing Gu , Xinzhe Chen , Lijuan Hu , Fangfang Liu

Accelerated MRI shortens acquisition time by subsampling in the measurement $\kappa$-space. Recovering a high-fidelity anatomical image from subsampled measurements requires close cooperation between two components: (1) a sampler that…

Image and Video Processing · Electrical Eng. & Systems 2022-07-28 Tianwei Yin , Zihui Wu , He Sun , Adrian V. Dalca , Yisong Yue , Katherine L. Bouman

Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed Cartesian MRF method involved the acquisition of highly…

Zero echo time (ZTE) sequences have proven a powerful tool for Magnetic Resonance Imaging (MRI) of ultrashort T2 tissues, but they fail to produce useful images in the presence of strong field inhomogeneities. Here we present a method to…

Medical Physics · Physics 2025-07-11 Jose Borreguero , Fernando Galve , José Miguel Algarín , Joseba Alonso

Quantitative mapping of magnetic resonance (MR) parameters have been shown as valuable methods for improved assessment of a range of diseases. Due to the need to image an anatomic structure multiple times, parameter mapping usually requires…

Computer Vision and Pattern Recognition · Computer Science 2018-09-11 Fang Liu , Li Feng , Richard Kijowski

Purpose: To develop and validate a multi-parametric SAturation-recovery single-SHot Acquisition (mSASHA) cardiac T1 and T2 mapping technique with high accuracy and precision in a single breath-hold. Methods: The mSASHA acquisition consists…