Resting-state ASL : Toward an optimal sequence duration

2018-11-28

Resting-state functional Arterial Spin Labeling (rs-fASL) in clinical daily practice and academic research stay discreet compared to resting-state BOLD. However, by giving direct access to cerebral blood flow maps, rs-fASL leads to significant clinical subject scaled application as CBF can be considered as a biomarker in common neuropathology. Our work here focuses on the link between overall quality of rs-fASL and duration of acquisition. To this end, we consider subject self-Default Mode Network (DMN), and assess DMN quality depletion compared to a gold standard DMN depending on the duration of acquisition.

📄 PDF Abstract BibTeX arXiv:1811.11423

Code (0)

등록된 구현이 없습니다.

Long-Term Visual Object Tracking Benchmark

2017-12-04 · Abhinav Moudgil, Vineet Gandhi

We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration of over 400 minu…

Object Object Tracking Visual Object Tracking Visual Tracking

Learning short-term past as predictor of human behavior in commercial buildings

2018-09-17 · Romana Markovic, Jérôme Frisch, Christoph van Treeck

This paper addresses the question of identifying the time-window in short-term past from which the information regarding the future occupant's window opening actions and resulting window states in buildings can be predic…

Weakly-Supervised Dense Action Anticipation

2021-11-15 · Haotong Zhang, Fuhai Chen, Angela Yao

Dense anticipation aims to forecast future actions and their durations for long horizons. Existing approaches rely on fully-labelled data, i.e. sequences labelled with all future actions and their durations. We present a…

Action Anticipation

PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control

2021-10-09 · Yunchao He, Jian Luan, Yujun Wang

Sequence expansion between encoder and decoder is a critical challenge in sequence-to-sequence TTS. Attention-based methods achieve great naturalness but suffer from unstable issues like missing and repeating phonemes, n…

Decoder

Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech

2021-06-05 · Hyunseung Chung, Sang-Hoon Lee, Seong-Whan Lee

Text-to-speech (TTS) synthesis is the process of producing synthesized speech from text or phoneme input. Traditional TTS models contain multiple processing steps and require external aligners, which provide attention al…

text-to-speech Text to Speech