Publication
The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy
Related publications (57)
RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Jiancheng Yang, Jason Ken Adhinarta, Ming Li
Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccessible to communities, or focus on rib segmentation that neglects the clinical ...
Piscataway2024Single-fraction radiosurgery outcomes for large vestibular schwannomas in the upfront or post-surgical setting: a systematic review and International Stereotactic Radiosurgery Society (ISRS) Practice Guidelines
PurposeTo perform a systematic review of literature specific to single-fraction stereotactic radiosurgery (SRS) for large vestibular schwannomas (VS), maximum diameter >= 2.5 cm and/or classified as Koos Grade IV, and to present consensus recommendations o ...
New York2023Brain morphometry in older adults with and without dementia using extremely rapid structural scans
T1-weighted structural MRI is widely used to measure brain morphometry (e.g., cortical thickness and subcortical volumes). Accelerated scans as fast as one minute or less are now available but it is unclear if they are adequate for quantitative morphometry ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2023Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma
Jiancheng Yang, Li Zhang, Lin Chen, Qiong Li, Ying Zhu
Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. Methods A total of 542 patients with clini ...
SPRINGER2023Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions
Jiancheng Yang, Bo Du, Kang Yuan
The high computational costs of deep convolutional neural networks hinder their deployment in real-world applications, including pulmonary nodule detection from CT scans where large 3D image sizes amplify the issue. This paper presents a novel 3D method to ...
IEEE20233D representation of meso-voids location and morphology within the fibrous pore space of three carbon fabrics
Véronique Michaud, Helena Luisa Teixido Pedarros
Segmented meso-voids from a tomography scan of preforms impregnated under capillary dominated conditions, combined to 3D scans of the initial prefrom dry state. ...
EPFL Infoscience2023Medipix4, a high granularity four sides buttable pixel readout chip for high resolution spectroscopic X-ray imaging at rates compatible with medical CT scans
Medipix4 is the latest member in the Medipix/Timepix family of pixel detector chips aimed at high rate spectroscopic X-ray imaging using high-Z materials. The chip address the limitations of conventional hybrid pixel detectors for X-ray imaging. Its predec ...
EPFL2022Prospective motion correction in kidney MRI using FID navigators
Purpose Abdominal MRI scans may require breath-holding to prevent image quality degradation, which can be challenging for patients, especially children. In this study, we evaluate whether FID navigators can be used to measure and correct for motion prospec ...
WILEY2022Proteomics reveals unique plasma signatures in constitutional thinness
Loïc Dayon, Jörg Hager, Nele Gheldof
Purpose Studying the plasma proteome of control versus constitutionally thin (CT) individuals, exposed to overfeeding, may give insights into weight-gain management, providing relevant information to the clinical entity of weight-gain resistant CT, and dis ...
WILEY-V C H VERLAG GMBH2022An autonomous microfluidic device for identification and analysis of individual clinically-relevant mammalian cells
Fabien Louis Claude Robert Jammes
Cancer represents one of the major public health challenges worldwide, representing more than 25% of all deaths in the European Union in 2014. It affects a large and growing part of the general population, with the National Cancer Institute (NCI) estimatin ...
EPFL2021