Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers | Paper Citation Record

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This paper cites Exploring the applications of artificial intelligence in dental image detection: A systematic review.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Exploring the applications of artificial intelligence in dental image detection: A systematic review

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This paper cites Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence

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This paper cites Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view oct images.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view oct images

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This paper cites Artifact reduction in 3d and 4d cone-beam computed tomography images with deep learning-a review.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artifact reduction in 3d and 4d cone-beam computed tomography images with deep learning-a review

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This paper cites A primer on the physical principles of tissue harmonic imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A primer on the physical principles of tissue harmonic imaging

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This paper cites Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

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This paper cites Artificial intelligence applications in histopathology.Nature Reviews Electrical Engineering, 1(2):93–108, 2024.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artificial intelligence applications in histopathology.Nature Reviews Electrical Engineering, 1(2):93–108, 2024

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This paper cites Radiopharmaceuticals in clinical diagnosis and therapy.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Radiopharmaceuticals in clinical diagnosis and therapy

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This paper cites Physics-informed computer vision: A review and perspectives.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics-informed computer vision: A review and perspectives

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This paper cites PINNs for Medical Image Analysis: A Survey.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers PINNs for Medical Image Analysis: A Survey

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This paper cites Artifacts in ct: recognition and avoidance.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artifacts in ct: recognition and avoidance

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This paper cites A decade of combined imaging: from a pet attached to a ct to a pet inside an mr.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A decade of combined imaging: from a pet attached to a ct to a pet inside an mr

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This paper cites How does gdpr support healthcare transformation to 5p medicine? In MEDINFO 2019: Health and Wellbeing e-Networks for All, pages 1135–1139.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers How does gdpr support healthcare transformation to 5p medicine? In MEDINFO 2019: Health and Wellbeing e-Networks for All, pages 1135–1139

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This paper cites Implementation of ai image reconstruction in ct—how is it validated and what dose reductions can be achieved.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Implementation of ai image reconstruction in ct—how is it validated and what dose reductions can be achieved

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Helical ct: principles and technical considerations

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Magnetic resonance imaging: physical principles and sequence design

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This paper cites Large language models for structured reporting in radiology: past, present, and future.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Large language models for structured reporting in radiology: past, present, and future

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This paper cites The essential physics of medical imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The essential physics of medical imaging

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This paper cites A comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging

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This paper cites State of the art of 18f-fdg pet/ct application in inflammation and infection: a guide for image acquisition and interpretation.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers State of the art of 18f-fdg pet/ct application in inflammation and infection: a guide for image acquisition and interpretation

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This paper cites A primer on artificial intelligence and its application to endoscopy.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A primer on artificial intelligence and its application to endoscopy

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This paper cites Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Multimodality imaging: Beyond pet/ct and spect/ct

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists

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This paper cites Enhancing radiomics and deep learning systems through the standardization of medical imaging workflows.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Enhancing radiomics and deep learning systems through the standardization of medical imaging workflows

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Radiopharmaceuticals for pet and spect imaging: a literature review over the last decade

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This paper cites Artificial intelligence for breast cancer detection: Technology, challenges, and prospects.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artificial intelligence for breast cancer detection: Technology, challenges, and prospects

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers About dicom: Overview

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Diffusion as sound propagation: Physics-inspired model for ultrasound image generation

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This paper cites Physics-informed deep learning for motion-corrected reconstruction of quantitative brain mri.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics-informed deep learning for motion-corrected reconstruction of quantitative brain mri

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This paper cites State-of-the-art challenges and emerging technologies in radiation detection for nuclear medicine imaging: A review.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers State-of-the-art challenges and emerging technologies in radiation detection for nuclear medicine imaging: A review

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Model-based image reconstruction for mri

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The synergistic effect of pet/mri in whole-body oncologic imaging: an expert review

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artificial intelligence in interventional radiology: state of the art

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Photon-counting ct systems: A technical review of current clinical possibilities

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Retina fundus photograph-based artificial intelligence algorithms in medicine: A systematic review

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Recent advances in generative ai and large language models: Current status, challenges, and perspectives

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Advances in ultrasonography: Image formation and quality assessment

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Deep learning for accelerated and robust mri reconstruction

Reference 39

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A review of multimodal medical image fusion techniques

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Optical coherence tomography

Reference 41

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Recent breakthroughs in pet-ct multimodality imaging: Innovations and clinical impact

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Applied physics: Selecting and adjusting the equipment

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This paper cites Synthetic dual-energy ct reconstruction from single-energy ct using artificial intelligence.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Synthetic dual-energy ct reconstruction from single-energy ct using artificial intelligence

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Hyperspace: Hypernetworks for spacing-adaptive image segmentation

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This paper cites Capsule network versus convolutional neural network in image classification: comparative analysis.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Capsule network versus convolutional neural network in image classification: comparative analysis

Reference 46

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers State-of-the-art of deep learning in multidisciplinary optical coherence tomography applications

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This paper cites Physics-informed machine learning.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics-informed machine learning

Reference 48

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This paper cites Performance comparison of different medical image fusion algorithms for clinical glioma grade classification with advanced magnetic resonance imaging (mri).

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Performance comparison of different medical image fusion algorithms for clinical glioma grade classification with advanced magnetic resonance imaging (mri)

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Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A review of deep learning-based reconstruction methods for accelerated mri using spatiotemporal and multi-contrast redundancies

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This paper cites Generating synthetic data for medical imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Generating synthetic data for medical imaging

Reference 51

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This paper cites The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

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This paper cites Whole slide imaging (wsi) in pathology: current perspectives and future directions.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Whole slide imaging (wsi) in pathology: current perspectives and future directions

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This paper cites Basic principles of and practical guide to clinical mri radiofrequency coils.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Basic principles of and practical guide to clinical mri radiofrequency coils

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.094922Z

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This paper cites Using generative ai to investigate medical imagery models and datasets.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Using generative ai to investigate medical imagery models and datasets

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This paper cites Benign versus malignant soft-tissue tumors: differentiation with 3t magnetic resonance image textural analysis including diffusion-weighted imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Benign versus malignant soft-tissue tumors: differentiation with 3t magnetic resonance image textural analysis including diffusion-weighted imaging

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.073045Z

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Observation 715f005c-92bd-47b3-a255-4a218ccdd0db · outbound

This paper cites Trustworthy ai: From principles to practices.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Trustworthy ai: From principles to practices

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.061515Z

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Observation 2b17950a-f6e2-484d-aaaf-ad798a879aac · outbound

This paper cites Medical image analysis using deep learning algorithms.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Medical image analysis using deep learning algorithms

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.051346Z

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Observation d7019904-a546-402a-8693-3db2aae86069 · outbound

This paper cites An improved iterative neural network for high-quality image-domain material decomposition in dual-energy ct.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers An improved iterative neural network for high-quality image-domain material decomposition in dual-energy ct

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.041049Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e293d73-cb97-4e32-b841-9279fc478315 · outbound

This paper cites Medical image fusion with deep neural networks.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Medical image fusion with deep neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.030108Z

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Observation 5bea38b0-6562-4a04-ae01-6a67dfd858ea · outbound

This paper cites The influence of anisotropic voxel caused by field of view setting on the accuracy of three-dimensional reconstruction of bone geometric models.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The influence of anisotropic voxel caused by field of view setting on the accuracy of three-dimensional reconstruction of bone geometric models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.018576Z

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Observation 9a61821c-491c-4d7d-a246-162c4945508c · outbound

This paper cites Fluoroscopy history, evolution, and technological advancements: A narrative review.Journal of Medical Imaging and Radiation Sciences, 2024.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Fluoroscopy history, evolution, and technological advancements: A narrative review.Journal of Medical Imaging and Radiation Sciences, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:33.007294Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44b45e20-37c3-4185-a220-4b320898ddb2 · outbound

This paper cites Tomographic detection of photon pairs produced from high-energy x-rays for the monitoring of radiotherapy dosing.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Tomographic detection of photon pairs produced from high-energy x-rays for the monitoring of radiotherapy dosing

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.994535Z

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Observation 358169d8-50f8-4587-8b5c-93fb6895a1e1 · outbound

This paper cites Breast cancer screening in women with extremely dense breasts recommendations of the european society of breast imaging (eusobi).

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Breast cancer screening in women with extremely dense breasts recommendations of the european society of breast imaging (eusobi)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.983877Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fb2f59c-7118-49bc-aa61-21f807923176 · outbound

This paper cites Radionuclide tracers for myocardial perfusion imaging and blood flow quantification.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Radionuclide tracers for myocardial perfusion imaging and blood flow quantification

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.973609Z

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Observation b907cc9a-2ed6-4eb7-a9a8-fb00274232e1 · outbound

This paper cites Self-adaptive physics-informed neural networks.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Self-adaptive physics-informed neural networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T05:50:32.296638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34bb56a4-518c-400a-83e7-abee6541d24c · outbound

This paper cites Dual energy ct physics—a primer for the emergency radiologist.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Dual energy ct physics—a primer for the emergency radiologist

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.957312Z

Source-reported events for the cited work

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Observation f4a12ace-c4f7-4d6f-b5f3-04b3a9f20e87 · outbound

This paper cites Accelerating breast mri acquisition with generative ai models.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Accelerating breast mri acquisition with generative ai models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.947840Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17b58769-27b0-4100-a508-ad06d09d4208 · outbound

This paper cites Physics of ultrasound.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics of ultrasound

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.937012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f85e4624-484a-41f4-92b0-69b16d1e4a8a · outbound

This paper cites Learning optimal k-space acquisition and reconstruction using physics-informed neural networks.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Learning optimal k-space acquisition and reconstruction using physics-informed neural networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.926099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13389410-bdf8-4e36-9b23-5fdf1c679285 · outbound

This paper cites Spect detectors: the anger camera and beyond.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Spect detectors: the anger camera and beyond

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.914655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a58c7432-cebb-4df5-b489-a815a7eeb901 · outbound

This paper cites Digital imaging and communications in medicine (DICOM): a practical introduction and survival guide, volume 10.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Digital imaging and communications in medicine (DICOM): a practical introduction and survival guide, volume 10

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.903687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1796d82d-3947-42f6-9b9f-cbe92d1ff32c · outbound

This paper cites Optimisation of quantitative brain diffusion-relaxation mri acquisition protocols with physics-informed machine learning.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Optimisation of quantitative brain diffusion-relaxation mri acquisition protocols with physics-informed machine learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.891622Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9878f8ee-19f4-4481-9a88-e138a57c3e80 · outbound

This paper cites Medical image super-resolution reconstruction algorithms based on deep learning: A survey.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Medical image super-resolution reconstruction algorithms based on deep learning: A survey

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.880533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68936097-64fe-4ac8-9120-136ff113bbde · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T05:50:32.327476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ca7cf13-0ef0-415d-a03c-3d38da2c6c42 · outbound

This paper cites The radiopharmaceutical chemistry of technetium-99m.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The radiopharmaceutical chemistry of technetium-99m

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.862392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66d4bb23-d47d-4972-8c83-2362ed80f390 · outbound

This paper cites Panoramic radiography in dentistry.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Panoramic radiography in dentistry

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.851736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98565830-662c-4647-8e04-36c126946426 · outbound

This paper cites Deep learning-based calculation of patient size and attenuation surrogates from localizer image: Toward personalized chest ct protocol optimization.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Deep learning-based calculation of patient size and attenuation surrogates from localizer image: Toward personalized chest ct protocol optimization

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.840873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75fc77c5-b5ea-4d88-a47e-5ebdd1636ac6 · outbound

This paper cites Medical physics 3.0: A renewed model for practicing medical physics in clinical imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Medical physics 3.0: A renewed model for practicing medical physics in clinical imaging

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.829674Z

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Observation dd34e3a7-d772-499c-baff-8116cbec7f0d · outbound

This paper cites Emerging imaging technologies in dermatology: Part ii: Applications and limitations.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Emerging imaging technologies in dermatology: Part ii: Applications and limitations

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.818884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf3b5022-efe2-4932-9ce5-d4b3a543578a · outbound

This paper cites Quantitative mr imaging: physical principles and sequence design in abdominal imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Quantitative mr imaging: physical principles and sequence design in abdominal imaging

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.806515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e28f5dd-27a6-43ae-8d7e-aef9ac23906d · outbound

This paper cites Subsampled brain mri reconstruction by generative adversarial neural networks.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Subsampled brain mri reconstruction by generative adversarial neural networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.785630Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f2fbb933-31b1-403f-8966-7418724d177c · outbound

This paper cites Dynamic contrast-enhanced magnetic resonance imaging (dce-mri) in differentiation of soft tissue sarcoma from benign lesions: a systematic review of literature.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Dynamic contrast-enhanced magnetic resonance imaging (dce-mri) in differentiation of soft tissue sarcoma from benign lesions: a systematic review of literature

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.773062Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03d96e1b-f7d3-46ed-9caf-442214d83b2b · outbound

This paper cites Artificial intelligence in image reconstruction: the change is here.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Artificial intelligence in image reconstruction: the change is here

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.757935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d7262a3-1d0f-490d-98ba-0212cbe34d71 · outbound

This paper cites Deep learning for contrast enhanced mammography-a systematic review.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Deep learning for contrast enhanced mammography-a systematic review

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.746522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b0a9249-c67c-48ac-820e-63ec8b38ff91 · outbound

This paper cites Towards lower-dose pet using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Towards lower-dose pet using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.735827Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22006be1-1f98-48f5-b56d-3ca5ce081d3f · outbound

This paper cites Total-body pet/ct: current applications and future perspectives.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Total-body pet/ct: current applications and future perspectives

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.725042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd956fdb-85b4-4865-9b09-28d93f3ee8f3 · outbound

This paper cites Reduced lung-cancer mortality with low-dose computed tomographic screening.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Reduced lung-cancer mortality with low-dose computed tomographic screening

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.714744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78577e52-7ecb-46a7-8dcf-8959fa36da44 · outbound

This paper cites Can you rely on your model evaluation? improving model evaluation with synthetic test data.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Can you rely on your model evaluation? improving model evaluation with synthetic test data

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.694162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ff3d648-50a1-44ee-8d4e-98a0cf18fff6 · outbound

This paper cites Image quality of multisection ct of the brain: thickly collimated sequential scanning versus thinly collimated spiral scanning with image combining.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Image quality of multisection ct of the brain: thickly collimated sequential scanning versus thinly collimated spiral scanning with image combining

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.681240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e07743e-8f83-45ad-a97f-bc0e5ff0046e · outbound

This paper cites Improving spatial resolution at ct: development, benefits, and pitfalls, 2018.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Improving spatial resolution at ct: development, benefits, and pitfalls, 2018

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.669619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2c20d0a-87cc-4df9-9f47-0a31b7a5a1f1 · outbound

This paper cites A dual-channel visible light optical coherence tomography system enables wide-field, full-range, and shot-noise limited human retinal imaging.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers A dual-channel visible light optical coherence tomography system enables wide-field, full-range, and shot-noise limited human retinal imaging

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.658605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11e54a27-3d7c-4e91-aee9-400aa9f2ed61 · outbound

This paper cites Quantitative magnetic resonance imaging of brain anatomy and in vivo histology.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.644641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7011392-6ac7-4508-a11d-3936178d576f · outbound

This paper cites The evolution of image reconstruction for ct—from filtered back projection to artificial intelligence.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers The evolution of image reconstruction for ct—from filtered back projection to artificial intelligence

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.628455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 493742c5-f1ac-4dd6-9518-d18650021676 · outbound

This paper cites Photon-counting ct: technical principles and clinical prospects.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Photon-counting ct: technical principles and clinical prospects

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.615256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33163e87-ace0-4b3f-a05e-dd9ca4114465 · outbound

This paper cites Physics-/model-based and data-driven methods for low-dose computed tomography: A survey.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Physics-/model-based and data-driven methods for low-dose computed tomography: A survey

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.603872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6f88e4f-1930-4a72-ac20-a8e0beca5ccb · outbound

This paper cites Mri contrast agents: Classification and application.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Mri contrast agents: Classification and application

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.591967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe506012-4473-4c1d-b4a7-11901cf5a8d8 · outbound

This paper cites Fill the k-space and refine the image: Prompting for dynamic and multi-contrast mri reconstruction.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Fill the k-space and refine the image: Prompting for dynamic and multi-contrast mri reconstruction

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.581248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f1af91b-949f-472c-8c79-2dabd0092391 · outbound

This paper cites Permutation equivariance of transformers and its applications.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Permutation equivariance of transformers and its applications

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T05:50:32.418418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8938fe9f-e087-42e7-a156-7c900c725854 · outbound

This paper cites Research on optimization scheme for blocking artifacts after patch-based medical image reconstruction.

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers Research on optimization scheme for blocking artifacts after patch-based medical image reconstruction

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:50:32.565167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers