Publications

Research in medical imaging, machine learning, and human intelligence.

221–240 of 369 publications

Newest first

2024Revista de Investigacion Clinica -2024

Evaluation of pan-immuno-inflammation value for in-hospital mortality in acute pulmonary embolism patients

Çiçek, Vedat, et al.

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2024ICPR 2024

Evidential federated learning for skin lesion image classification

Rutger Hendrix et al

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2024IEEE ISBI 2024

Explainable transformer prototypes for medical diagnoses.

Demir, Ugur, et al.

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2024Medical Image Perception Society (MIPS) XX 2024.

EyeSee: integrating deep learning for ImageAnalysis

Bin Wang and Ulas Bagci

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2024RSNA 2024

EyeSee: real radiology room experience with eye tracking and deep learning

Bin Wang, et al.

2024IEEE Internet of Things Journal

Federated learning for medical applications: a taxonomy, current trends, challenges, and future research directions

Rauniyar, Ashish, et al.

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2024British Journal of Radiology AI

Foundational AI models and modern medical practice

Alpay Medetalibeyoglu, Yury Velichko, Eric Hart, MD, Ulas Bagci.

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2024IEEE ISBI 2024

FuseNet: self-supervised dual-path network for medical image segmentation

Kazerouni, Amirhossein, et al.

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2024WACV 2024

GazeGNN: a gaze-guided graph neural network for chest x-ray classification.

Wang, Bin, et al.

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2024IEEE ISBI 2024

HCA-net: hierarchical context attention network for intervertebral disc semantic labeling

Bozorgpour, Afshin, et al.

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2024ICPR 2024

Harmonized spatial and spectral learning for robust and generalized medical image segmentation

Gorade, Vandan, et al.

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2024ISMRM 2024

Healthy-to-patients domain-adaptive deep learning for time-resolved segmentation of left atrium in short-axis cine MRI images

M. Elbayumi, et al.

2024WACV 2024

INCODE: implicit neural conditioning with prior knowledge embeddings

Kazerouni, Amirhossein, et al.

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2024RSNA 2024

Imaging assessment of response in soft tissue sarcoma after neoadjuvant radiotheraphy

Yuri Velichko et al.

2024RSNA 2024

Increased tumor size on MRI predicts pathological response to neoadjuvant radiotherapy in undifferentiated pleomorphic sarcoma

Yuri Velichko et al.

2024IEEE ISBI 2024

Leveraging unlabeled data for 3D medical image segmentation through self-supervised contrastive learning

Karimijafarbigloo, Sanaz, et al.

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2024RSNA 2024

Limited utility of RECIST 1.1 in predicting pathologic response to neoadjuvant radiotherapy in myxoid liposarcoma

Yuri Velichko et al.

2024RSNA 2024

MRI intensity standardization via prototype learning fro improved oncological analysis of heterogenous datasets

Meghana Karri, et al.

2024EJNMMI Research

Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis

Vedat Cicek, et al.

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2024US Patent - 2024

Methods of artificial intelligence-assisted infrastructure assessment using mixed reality systems.

Karaaslan, Enes, et al.

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