Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment.

Humbert-Vidan L, Castelo AH, He R, van Dijk LV, Rhee DJ, Wang C, Wang HC, Wahid KA, Joshi S, Gerafian P, West N, Kaffey Z, Mirbahaeddin S, Curiel J, Acharya S, Shekha A, Oderinde P, Ali AMS, Hope A, Watson E, Wesson-Aponte R, Frank SJ, Barbon CEA, Brock KK, Chambers MS, Walji M, Hutcheson KA, Lai SY, Fuller CD, Naser MA, Moreno AC

Open source

DOI: 10.1101/2025.03.18.25324199
Published: 2025 Mar 20
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1101/2025.03.18.25324199,
  title = {Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment.},
  author = {Humbert-Vidan L and Castelo AH and He R and van Dijk LV and Rhee DJ and Wang C and Wang HC and Wahid KA and Joshi S and Gerafian P and West N and Kaffey Z and Mirbahaeddin S and Curiel J and Acharya S and Shekha A and Oderinde P and Ali AMS and Hope A and Watson E and Wesson-Aponte R and Frank SJ and Barbon CEA and Brock KK and Chambers MS and Walji M and Hutcheson KA and Lai SY and Fuller CD and Naser MA and Moreno AC},
  year = {2025},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.1101/2025.03.18.25324199},
  url = {https://doi.org/10.1101/2025.03.18.25324199}
}

RIS

TY  - JOUR
TI  - Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment.
AU  - Humbert-Vidan L
AU  - Castelo AH
AU  - He R
AU  - van Dijk LV
AU  - Rhee DJ
AU  - Wang C
AU  - Wang HC
AU  - Wahid KA
AU  - Joshi S
AU  - Gerafian P
AU  - West N
AU  - Kaffey Z
AU  - Mirbahaeddin S
AU  - Curiel J
AU  - Acharya S
AU  - Shekha A
AU  - Oderinde P
AU  - Ali AMS
AU  - Hope A
AU  - Watson E
AU  - Wesson-Aponte R
AU  - Frank SJ
AU  - Barbon CEA
AU  - Brock KK
AU  - Chambers MS
AU  - Walji M
AU  - Hutcheson KA
AU  - Lai SY
AU  - Fuller CD
AU  - Naser MA
AU  - Moreno AC
PY  - 2025
JO  - medRxiv : the preprint server for health sciences
DO  - 10.1101/2025.03.18.25324199
UR  - https://doi.org/10.1101/2025.03.18.25324199
ER  -

APA

L, H., AH, C., R, H., LV, V. D., DJ, R., C, W., HC, W., KA, W., S, J., P, G., N, W., Z, K., S, M., J, C., S, A., A, S., P, O., AMS, A., A, H., E, W., R, W., SJ, F., CEA, B., KK, B., MS, C., M, W., KA, H., SY, L., CD, F., MA, N., & AC, M. (2025). Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment.. medRxiv : the preprint server for health sciences. https://doi.org/10.1101/2025.03.18.25324199

Source records

pubmed · retrieved 2026-09-26T03:22:19.517Z