Segmentation in dense visual scenes poses significant challenges due to
occlusions, background clutter, and scale variations. To address this, we
introduce PerSense, an end-to-end, training-free, and model-agnostic one-shot
framework for Personaliz... read more
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive
quantification of blood flow and hemodynamic parameters. However, its clinical
application is limited by low spatial resolution and noise, particularly
affecting near-wall veloci... read more
The paper presents a novel technique for creating a 6D pose estimation
dataset for marine vessels by fusing monocular RGB images with Automatic
Identification System (AIS) data. The proposed technique addresses the
limitations of relying purely on ... read more
BACKGROUND: Practice guidelines recommend panitumumab with chemotherapy to treat KRAS wild-type (WT) metastatic colorectal cancer (mCRC) patients. However, not all patients respond to this therapy. We propose a score termed "PROCC" to identify likely... read more
BACKGROUND: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematox... read more
The British journal of psychiatry : the journal of mental science
Aug 20, 2025
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more
Chronic knee osteoarthritis pain significantly impacts patients' quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb condition... read more
Accurately predicting enzyme functionality remains one of the major
challenges in computational biology, particularly for enzymes with limited
structural annotations or sequence homology. We present a novel multimodal
Quantum Machine Learning (QML)... read more
Palindromes are strings that read the same forward and backward. The
computation of palindromic structures within strings is a fundamental problem
in string algorithms, being motivated by potential applications in formal
language theory and bioinfo... read more
As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. With the warming of the climate, extreme temperature events are frequent, which has exerted a profound influence on NPP. Previous stu... read more
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