computed tomography
PulseAugur coverage of computed tomography — every cluster mentioning computed tomography across labs, papers, and developer communities, ranked by signal.
- instance of cone beam computed tomography 90%
- instance of Cone Beam Ct 90%
- instance of magnetic resonance imaging 70%
- used by deep learning 70%
- used by X-ray 70%
- developed by cone beam computed tomography 70%
- used by polyethylene terephthalate 70%
- used by cone beam computed tomography 70%
- used by U-Net 70%
- instance of Ultrasound : journal of the British Medical Ultrasound Society 70%
- used by Segment Anything Model 70%
- used by Swin Transformer 70%
24 day(s) with sentiment data
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Gaussian representations outperform implicit methods in medical imaging
A new arXiv paper argues that explicit primitive representations, specifically Gaussian-based ones, are superior to Implicit Neural Representations for medical imaging tasks. The paper highlights that while implicit met…
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New AI Model Enhances Prostate Cancer PET Image Synthesis from CT Scans
Researchers have developed a new method called Lesion-Aware Adaptive Fourier Neural Operator (LAFNO) to improve the synthesis of PSMA PET images from CT scans for prostate cancer patients. Traditional deep learning mode…
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New ENCORE framework enhances low-dose CT image denoising
Researchers have developed a new framework called ENCORE for denoising low-dose computed tomography (CT) images. This framework explicitly considers the unique noise characteristics of CT scans, moving beyond generic im…
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DoseBridge model advances proton therapy dose prediction
Researchers have developed DoseBridge, a novel denoising diffusion bridge model designed for predicting radiation doses in lung intensity-modulated proton therapy (IMPT). Unlike previous models that primarily relied on …
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XClipGS method enhances medical volume rendering with exact clipping
Researchers have developed XClipGS, a novel method for exact half-space clipping in medical volume Gaussian splatting. This technique allows for interactive rendering of volumetric medical scans by precisely clipping an…
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AI synthesizes CT-equivalent images from low-dose scans for radiotherapy
Researchers have developed a deep learning framework using a conditional denoising diffusion probabilistic model to synthesize CT-equivalent images from low-dose cone-beam CT (CBCT) scans. This approach aims to improve …
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New GeDi+ICP method improves jawbone CT and intraoral scan registration
Researchers have developed a new method for accurately registering jawbone CT scans with intraoral scans, a crucial step in digital dentistry and oral surgery. This new technique utilizes a combination of a domain-gener…
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RibAssist 3D improves rib fracture detection from CT scans
Researchers have developed RibAssist 3D, a novel system designed to improve the detection and localization of rib fractures from computed tomography (CT) scans. The system utilizes biplanar projections to reconstruct 3D…
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AR system guides mandible surgery, replacing physical cutting guides
Researchers have developed a markerless augmented reality (AR) system to guide mandibular reconstruction surgery, potentially replacing costly and time-consuming physical cutting guides. The system uses a HoloLens 2 to …
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Deep learning automates FAI angle measurement from MRI
Researchers have developed a deep learning model, nnU-Net, to automatically compute femoroacetabular impingement (FAI) angles from Zero Echo Time (ZTE) MRI scans. This method aims to replace traditional computed tomogra…
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Autonomous drones to detect poison gases and hazardous materials
Autonomous drones are being developed to detect and identify hazardous substances like poison gases. These drones will utilize advanced sensing technologies to analyze airborne particles and chemical signatures in real-…
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AI chain records all audio/video, sparking privacy debate
A new AI-powered chain, featured in c't 3003, records audio and video, raising significant privacy concerns. The device is designed to capture all interactions, leading to widespread criticism and debate regarding its i…
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AI framework generates synthetic CT data for improved medical pose assessment
Researchers have developed a novel framework to generate synthetic data for patient pose assessment in medical imaging. This approach uses Computed Tomography (CT) scans to create paired depth images and radiographs, ov…
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New Curia-MAE method enhances 3D medical image segmentation
Researchers have developed Curia-MAE, a new pre-training method for 3D medical image segmentation that aims to improve upon existing foundation models. This method incorporates a robust reconstruction objective, a featu…
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Lightweight LLMs outperform rule-based systems in medical report labeling
A new study published on arXiv evaluated five lightweight, open-weight large language models (LLMs) for their ability to label chest, abdomen, and pelvis CT reports without prior fine-tuning. The LLMs, including MedGemm…
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AI Detector Pangram 4.0 Fails Practical Tests, Shows Major Flaws
A new AI detection tool called Pangram, specifically version 4.0, has been tested by c't Magazin and Heise, revealing significant flaws. The detector, designed to identify AI-generated text, even when edited, produced n…
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New ALTER method enhances 3D CT radiology report generation · 2 sources tracked
Researchers have developed a new method called Anatomically Localized Temporal Evidence Representation (ALTER) to improve the generation of radiology reports from 3D CT scans. ALTER addresses the challenge of modeling l…
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New HexMIL method detects AI-manipulated CT scans with high accuracy
Researchers have developed HexMIL, a novel method for detecting AI-manipulated medical images, specifically computed tomography (CT) volumes. This approach uses a hierarchical attention mechanism within a Multiple Insta…
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New SALT method enhances CT lesion detection using adaptive temperature
Researchers have developed a new method called SALT (Spatially Adaptive Label-guided Temperature) to improve lesion detection in CT scans. This technique enhances self-supervised pretraining by sharpening the teacher's …
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New splat-based method reduces metal artifacts in CT scans
Researchers have developed a novel splat-based framework for reducing metal artifacts in cone-beam CT scans. This method incorporates a physically grounded polychromatic forward model within a continuous Gaussian repres…