11 papers · ranked by Valyu relevance
Jidong Liu, Jianxiong Xie, Qiaoyan Hao, Yutao Hu + 6 more
Reconfigurable optoelectronic image sensors capable of in-sensor computing are promising for energy-efficient edge visual perception. Self-powered photovoltaic operation further reduces the power demand of image sensing and processing. However, it remains challenging to achieve a continuously gate-tunable self-powered…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Jordie Hoffman, Michael Gurven, Hillard Kaplan, Jonathan Stieglitz + 13 more
Computer vision models that estimate body mass index (BMI) from facial features offer a non-invasive, low-cost alternative to physical measurement, with uses in telemedicine, emergency care where a scale or measuring tools aren’t available, automated self-monitoring, and large-scale epidemiological research. Most of…
Konrad Karlsson
Individual encounter histories are central to capture–recapture models, but fisheries monitoring is often reduced to counts that do not account for variation in detection probability. This study presents a machine-vision workflow for converting long-term video surveillance of Atlantic salmon (Salmo salar) and sea trout…
Damien J. Mannion, Maria del Mar Quiroga, Jacob M. Paul, Marta I. Garrido
The processing of neuroimaging data typically involves a complicated set of operations, which often require different software packages and have intensive computational and storage demands. Although there are many options available for the neuroimaging researcher to establish their preferred set of processing…
Wei-shan Li, Gregory P. Way
Pairing label-free microscopy with virtual staining could reduce the cost and experimental burden of fluorescence microscopy, but its impact is conditional on generalizable inference. Most virtual staining studies assess performance using image quality assessment (IQA) metrics developed for natural images, yet how well…
Samuel de la Sablonnière, Samuel Foucher, Yacine Bouroubi, Philippe Vigneault + 1 more
Vegetated riparian buffers play a critical role in maintaining ecological health and water quality, yet efficient characterization and large-scale monitoring remain challenging due to the resource demands of traditional field campaigns. This study, conducted in an agricultural setting, introduces a straightforward…
Yanyan Wang, Ye Yu, Yicheng Fu, Ying Zhang + 5 more
Objectives To establish and validate a noninvasive multiparametric radiomics model based on dual-layer spectral CT (DLCT) for distinguishing preoperatively malignant from benign solid pulmonary nodules (SPNs). Materials and methods This retrospective study enrolled 441 patients with pathologically confirmed SPNs who…
Hiroyuki Kusano, Takayuki Shiomi
Digital pathology has rapidly expanded over the past decade, driven by advances in whole-slide imaging and increasing demand for remote and data-integrated diagnostic workflows. However, many implementations remain limited to partial digitization, without fundamentally transforming laboratory and diagnostic processes.…
Huiyang Zhang, Minjie Dong, Hongbo Li, Xiang Li + 2 more
Pulmonary embolism (PE) is a life-threatening condition commonly diagnosed with computed tomography pulmonary angiography (CTPA). Although artificial intelligence (AI) has been applied for PE detection, its performance relative to physician-only and AI-assisted interpretation remains incompletely characterized. The…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…