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Vision transformer to differentiate between benign and malignant slices in 18F-FDG PET/CT
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Label-free quantification of imaging features in the extracellular matrix of left and right-sided colon cancer tissues
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Longitudinal long term follow up investigation on the carcinogenic impact of polyhexamethylene guanidine phosphate in rat models
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Ultra-low-dose computed tomography and chest X-ray in follow-up of high-grade soft tissue sarcoma—a prospective comparative study
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DiagSet: a dataset for prostate cancer histopathological image classification
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PI-RADS v2.1 and PSAD for the prediction of clinically significant prostate cancer among patients with PSA levels of 4–10 ng/ml
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Lesion-conditioning of synthetic MRI-derived subtraction-MIPs of the breast using a latent diffusion model
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AtPCa-Net: anatomical-aware prostate cancer detection network on multi-parametric MRI
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Brain tumour microstructure is associated with post-surgical cognition
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ImmunoPET imaging of TIGIT in the glioma microenvironment
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Opportunistic screening with multiphase contrast-enhanced dual-layer spectral CT for osteoblastic lesions in prostate cancer compared with bone scintigraphy
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Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
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Centrality angle is a novel nephrometry score to predict tumor complexity and perioperative outcomes for partial nephrectomy
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Overall survival and short-term efficacy analysis of cervical squamous cell carcinoma with skeletal muscle and 18F-FDG PET/CT parameters
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Dynamic contrast-enhanced magnetic resonance imaging assessment of residual tumor angiogenesis after insufficient microwave ablation and donafenib adjuvant therapy
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Implantable theranostic device for in vivo real-time NMR evaluation of drug impact in brain tumors
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A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization
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Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics
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Navigating the nuances: comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation
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Label-free visualization and quantification of the drug-type-dependent response of tumor spheroids by dynamic optical coherence tomography
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A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring
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Transfer learning of pre-treatment quantitative ultrasound multi-parametric images for the prediction of breast cancer response to neoadjuvant chemotherapy
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The prognostic value of radiological and pathological lymph node status in patients with cervical cancer who underwent neoadjuvant chemotherapy and followed hysterectomy
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Unveiling breast cancer metastasis through an advanced X-ray imaging approach
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AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer
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Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI
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Comparative analysis of radiomics and deep-learning algorithms for survival prediction in hepatocellular carcinoma
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Quantitative MRI-based radiomics analysis identifies blood flow feature associated to overall survival for rectal cancer patients
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Development of a novel prediction model for differential diagnosis between spinal myxopapillary ependymoma and schwannoma
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CT texture features and lung shunt fraction measured using 99mTc-macroaggregated albumin SPECT/CT before trans-arterial radioembolization for hepatocellular carcinoma patients
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Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy
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Prevention of activated brown adipose tissue on 18F-FDG-PET scans of young lymphoma patients: results of an ancillary study within the EuroNet-PHL-C2 trial
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Identification of CT-based non-invasive radiomic biomarkers for overall survival prediction in oral cavity squamous cell carcinoma
- Xiao Ling
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Measurement of solid size in early-stage lung adenocarcinoma by virtual 3D thin-section CT applied artificial intelligence
- Shingo Iwano
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Predicting stereotactic radiosurgery outcomes with multi-observer qualitative appearance labelling versus MRI radiomics
- David A. DeVries
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Combination of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients
- Sebastian Zschaeck
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Inverse shielding and mutual exclusion for PET-MR hybrid imaging concerning induced positronium hyperfine splits radiations
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Characterization of a fluorescence imaging probe that exploits metabolic dependency of ovarian clear cell carcinoma
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Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques
- Nassib Abdallah
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MANet: a multi-attention network for automatic liver tumor segmentation in computed tomography (CT) imaging
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A comparative study of clinicopathological and imaging features of HBV-negative and HBV-positive intrahepatic cholangiocarcinoma patients with different pathologic differentiation degrees
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Wide-field endoscope accessory for multiplexed fluorescence imaging
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MRI and PET/CT in the assessment of lymph node metastases in head and neck cancer
- Paul Zwittag
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A novel preoperative image-guided localization for small pulmonary nodule resection using a claw-suture device
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Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms
- Hugh G. Pemberton
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Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
- Ragnhild Holden Helland
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Sinonasal mucosal melanoma treatment response assessment to immune checkpoint inhibitors using hybrid positron emission tomography imaging
- Alexander Maurer
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- & Christian M. Meerwein
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Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data
- Lara Cavinato
- , Michela Carlotta Massi
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Primary breast tumor induced extracellular matrix remodeling in premetastatic lungs
- Ruoqing Cai
- , Caitlin M. Tressler
- & Kristine Glunde
A machine learning approach for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma undergoing tomotherapy