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Paper Citation Record · LEDGER

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.18638.

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pith.paper-citation-record.v1
2607.18638 v1

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Outbound references

Observation 21d0a2b4-d4c1-4209-947d-ca0ec5ee494e · outbound

This paper cites ConvNeXt-Base and ViT-Base/16 were initialized with DINOv3-pretrained weights, whereas MaxViT-Base was initialized with ImageNet-1K-pretrained weights.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs ConvNeXt-Base and ViT-Base/16 were initialized with DINOv3-pretrained weights, whereas MaxViT-Base was initialized with ImageNet-1K-pretrained weights

Reference 1

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This paper cites J-MID = Japan Medical Image Database.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs J-MID = Japan Medical Image Database

Reference 2

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This paper cites The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

Reference 3

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This paper cites Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management

Reference 6

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This paper cites Published June 11,.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Published June 11,

Reference 7

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This paper cites Body charts from CT segmentations across the adult lifespan: large-scale cross-sectional and longitudinal analyses.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Body charts from CT segmentations across the adult lifespan: large-scale cross-sectional and longitudinal analyses

Reference 9

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This paper cites Skeletal muscle area on CT: determination of an optimal height scaling power and testing for mortality risk prediction.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Skeletal muscle area on CT: determination of an optimal height scaling power and testing for mortality risk prediction

Reference 10

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This paper cites forensics.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs forensics

Reference 11

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This paper cites Predicting patient demographics from chest radiographs with deep learning.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Predicting patient demographics from chest radiographs with deep learning

Reference 12

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This paper cites Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in Japan

Reference 13

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This paper cites A deep-learning method using computed tomography scout images for estimating patient body weight.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs A deep-learning method using computed tomography scout images for estimating patient body weight

Reference 14

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This paper cites Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning

Reference 15

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Deep learning-based age estimation from clinical computed tomography image data of the thorax and abdomen in the adult population

Reference 16

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This paper cites Checklist for artificial intelligence in medical imaging (CLAIM): 2024 update.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Checklist for artificial intelligence in medical imaging (CLAIM): 2024 update

Reference 17

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This paper cites 3D deep learning on medical images: a review.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs 3D deep learning on medical images: a review

Reference 19

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This paper cites Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging

Reference 20

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Fast calculation of the exact radiological path for a three-dimensional CT array

Reference 21

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs A ConvNet for the 2020s

Reference 22

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This paper cites Japan-Medical Image Database (J-MID): medical big data supporting data science.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Japan-Medical Image Database (J-MID): medical big data supporting data science

Reference 23

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This paper cites TotalSegmentator: robust segmentation of 104 anatomic structures in CT images.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs TotalSegmentator: robust segmentation of 104 anatomic structures in CT images

Reference 24

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This paper cites Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative

Reference 25

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs The RSNA Abdominal Traumatic Injury CT (RATIC) dataset

Reference 26

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This paper cites Morphometric analysis of sex differences in contemporary Japanese pelves using multidetector computed tomography.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Morphometric analysis of sex differences in contemporary Japanese pelves using multidetector computed tomography

Reference 27

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This paper cites An image is worth 16×16 words: transformers for image recognition at scale.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs An image is worth 16×16 words: transformers for image recognition at scale

Reference 28

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs DINOv3

Reference 30

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Unresolved cited work

Reference 31

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Deep learning prediction of sex on chest radiographs: a potential contributor to biased algorithms

Reference 32

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs AI recognition of patient race in medical imaging: a modelling study

Reference 34

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Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Cham, Switzerland: Springer; 2022:459–479

Reference 2022

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This paper cites Published December 16,.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Published December 16,

Reference 2025

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This paper cites Published February 12,.

Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs Published February 12,

Reference 2026

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