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1
Radiation Reveal: Moving from research engagement to involvement
Radiation Reveal: Moving from research engagement to involvement
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Radiation Reveal: Moving from research engagement to involvement

British journal of cancer, 2024-06, Vol.130 (10), p.1593-1598 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0007-0920 ;EISSN: 1532-1827 ;DOI: 10.1038/s41416-024-02648-0 ;PMID: 38615107

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2
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
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Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08888

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3
Customizing Large Language Models for Business Context: Framework and Experiments
Customizing Large Language Models for Business Context: Framework and Experiments
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Customizing Large Language Models for Business Context: Framework and Experiments

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2312.10225

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4
Medical Research as a Productivity Indicator
Medical Research as a Productivity Indicator
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Medical Research as a Productivity Indicator

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08030

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5
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
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EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.05237

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6
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
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A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04650

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7
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
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D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.04170

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8
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
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Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.03846

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9
Proclamation 10751-National Fallen Firefighters Memorial Weekend, 2024 May 3, 2024
Proclamation 10751-National Fallen Firefighters Memorial Weekend, 2024 May 3, 2024
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magazinearticle 		Add to My Research

Proclamation 10751-National Fallen Firefighters Memorial Weekend, 2024 May 3, 2024

Daily Compilation of Presidential Documents, 2024-05, p.1-2

Copyright Superintendent of Documents May 3, 2024 ;ISSN: 1046-6986 ;EISSN: 1946-6986

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10
Biologics on Target for the Future
Biologics on Target for the Future
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Biologics on Target for the Future

Pharmaceutical Technology, 2024-05, Vol.48 (5), p.10-13

Copyright MultiMedia Healthcare Inc. May 2024 ;ISSN: 1543-2521 ;EISSN: 2150-7376

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11
Polysorbates: Part(icle) of the Problem?
Polysorbates: Part(icle) of the Problem?
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Polysorbates: Part(icle) of the Problem?

Pharmaceutical Technology, 2024-05, Vol.48 (5), p.30-32

Copyright MultiMedia Healthcare Inc. May 2024 ;ISSN: 1543-2521 ;EISSN: 2150-7376

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12
Capabilities of Gemini Models in Medicine
Capabilities of Gemini Models in Medicine
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Capabilities of Gemini Models in Medicine

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.18416

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13
Transitions
Transitions
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Transitions

Army, 2024-05, Vol.74 (5), p.60-64

Copyright Association of the US Army May 2024 ;ISSN: 0004-2455

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14
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
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DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.00472

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15
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
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FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling

arXiv.org, 2024-05

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.02189

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16
Data Set Terminology of Artificial Intelligence in Medicine: A Historical Review and Recommendation
Data Set Terminology of Artificial Intelligence in Medicine: A Historical Review and Recommendation
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Data Set Terminology of Artificial Intelligence in Medicine: A Historical Review and Recommendation

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.19303

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17
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning
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Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.19748

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18
Vision-Language Generative Model for View-Specific Chest X-ray Generation
Vision-Language Generative Model for View-Specific Chest X-ray Generation
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Article 		Add to My Research

Vision-Language Generative Model for View-Specific Chest X-ray Generation

arXiv.org, 2024-04

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2302.12172

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19
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
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SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images

arXiv.org, 2024-04

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.17967

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20
Matching Patients to Clinical Trials with Large Language Models
Matching Patients to Clinical Trials with Large Language Models
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Article 		Add to My Research

Matching Patients to Clinical Trials with Large Language Models

arXiv.org, 2024-04

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.15051

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