Search Results - "Farahani, Keyvan"

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline.

Authors: Clunie, David Taylor, Adam Bisson, Tom et al.

Source: Journal of Imaging Informatics in Medicine; Feb2025, Vol. 38 Issue 1, p16-30, 15p

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification

Authors: Clunie, David Prior, Fred Rutherford, Michael et al.

Source: Journal of Imaging Informatics in Medicine; Feb2025, Vol. 38 Issue 1, p1-15, 15p

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

Authors: Vahdati, Sanaz Khosravi, Bardia Mahmoudi, Elham et al.

Source: Journal of Digital Imaging; Oct2024, Vol. 37 Issue 5, p2015-2024, 10p

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.

Authors: Moassefi, Mana Rouzrokh, Pouria Conte, Gian Marco et al.

Source: Journal of Digital Imaging; Oct2023, Vol. 36 Issue 5, p2306-2312, 7p, 2 Diagrams, 4 Graphs

Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.

Authors: Armato, Samuel G. Farahani, Keyvan Zaidi, Habib

Source: Medical Physics. Jun2020, Vol. 47 Issue 6, p2325-2328. 4p.

Subjects: Image analysis, Scientific literature, Convolutional neural networks, Pattern recognition systems

Deep brain stimulation for Alzheimer disease: a decision and cost-effectiveness analysis.

Authors: Mirsaeedi-Farahani, Keyvan Halpern, C. Baltuch, G. et al.

Source: Journal of Neurology. May2015, Vol. 262 Issue 5, p1191-1197. 7p. 1 Diagram, 3 Charts, 1 Graph.

Report on the Cloud-Based Evaluation Approaches Workshop 2015.

Authors: Müller, Henning Kalpathy-Cramer, Jayashree Hanbury, Allan et al.

Source: SIGIR Forum; Jun2016, Vol. 50 Issue 1, p35-41, 7p

Domain classification and analysis of national institutes of health‐funded medical physics research.

Authors: Scarpelli, Matthew Whelan, Brendan Farahani, Keyvan

Source: Medical Physics. Feb2021, Vol. 48 Issue 2, p605-614. 10p.

Subjects: National Institutes of Health (U.S.), Medical physics, Research grants, Particle beams, Artificial intelligence, Databases

AAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*.

Authors: Supanich, Mark Siewerdsen, Jeff Fahrig, Rebecca et al.

Source: Medical Physics. Aug2023, Vol. 50 Issue 8, pe904-e945. 42p.

Subjects: Cone beam computed tomography, Image-guided radiation therapy, Three-dimensional imaging, Computed tomography, Image reconstruction, Imaging systems

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.

Authors: Afshar, Parnian Rafiee, Moezedin Javad Naderkhani, Farnoosh et al.

Source: Scientific Reports. 3/22/2022, Vol. 12 Issue 1, p1-11. 11p.

AAPM Task Group 241: A medical physicist's guide to MRI‐guided focused ultrasound body systems.

Authors: Payne, Allison Chopra, Rajiv Ellens, Nicholas et al.

Source: Medical Physics. Sep2021, Vol. 48 Issue 9, pe772-e806. 35p.

Subjects: United States. Food & Drug Administration, Physicists, Magnetic resonance imaging, Medical physics, Workflow, Quality assurance

3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction.

Authors: Afshar, Parnian Oikonomou, Anastasia Naderkhani, Farnoosh et al.

Source: Scientific Reports. 5/14/2020, Vol. 10 Issue 1, p1-11. 11p.

Safety of Pulsed High Intensity Focused Ultrasound for Enhanced Drug and Gene Delivery.

Authors: Kam, Anthony W. Honghui Wang Farahani, Keyvan et al.

Source: AIP Conference Proceedings. 2007, Vol. 911 Issue 1, p455-461. 7p. 2 Diagrams, 1 Chart, 1 Graph.

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.

Authors: Yang, Jinzhong Veeraraghavan, Harini Armato, Samuel G. et al.

Source: Medical Physics. Oct2018, Vol. 45 Issue 10, p4568-4581. 14p.

Subjects: Radiotherapy treatment planning, Image segmentation, Lung cancer, Computed tomography, Deep learning, Machine learning

Introduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA).

Authors: Kirby, Justin Prior, Fred Petrick, Nicholas et al.

Source: Medical Physics. Dec2020, Vol. 47 Issue 12, p6026-6028. 3p.

Subjects: Computed tomography

Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data.

Authors: Alzubaidi, Laith Al-Amidie, Muthana Al-Asadi, Ahmed et al.

Source: Cancers. Apr2021, Vol. 13 Issue 7, p1590-1590. 1p.

The Role of [ 18 F]Fluciclovine PET/CT in the Characterization of High-Risk Primary Prostate Cancer: Comparison with [ 11 C]Choline PET/CT and Histopathological Analysis.

Authors: Zanoni, Lucia Mei, Riccardo Bianchi, Lorenzo et al.

Source: Cancers. Apr2021, Vol. 13 Issue 7, p1575-1575. 1p.

Artificial Intelligence Techniques for Prostate Cancer Detection through Dual-Channel Tissue Feature Engineering.

Authors: Kim, Cho-Hee Bhattacharjee, Subrata Prakash, Deekshitha et al.

Source: Cancers. Apr2021, Vol. 13 Issue 7, p1524-1524. 1p.

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.

Authors: Schmidt, Kendall Bearce, Benjamin Chang, Ken et al.

Source: Medical Image Analysis. Jul2024, Vol. 95, pN.PAG-N.PAG. 1p.

Noninvasive Targeted Transcranial Neuromodulation via Focused Ultrasound Gated Drug Release from Nanoemulsions.

Authors: Airan, Raag D. Meyer, Randall A. Ellens, Nicholas P. K. et al.

Source: Nano Letters. Feb2017, Vol. 17 Issue 2, p652-659. 8p.