Publications | Enamundram Naga Karthik

2024

MIDL

Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers

Enamundram Naga Karthik, Sandrine Bedard, Jan Valosek, Sarath Chandar, and Julien Cohen-Adad

In Medical Imaging with Deep Learning, 2024

@inproceedings{karthik2024contrastagnostic,
  title = {Contrast-agnostic Spinal Cord Segmentation: A Comparative Study of ConvNets and Vision Transformers},
  author = {Karthik, Enamundram Naga and Bedard, Sandrine and Valosek, Jan and Chandar, Sarath and Cohen-Adad, Julien},
  booktitle = {Medical Imaging with Deep Learning},
  year = {2024},
  url = {https://openreview.net/forum?id=n6D25aqdV3},
}

medRxiv

SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury

Enamundram Naga Karthik*, Jan Valosek*, Andrew C. Smith, Dario Pfyffer, Simon Schading-Sassenhausen, Lynn Farner, Kenneth A. Weber II, Patrick Freund, and Julien Cohen-Adad

medRxiv, 2024

*shared first authorship

Bib PDF Code

@article{Naga Karthik2024.01.03.24300794,
  author = {Karthik*, Enamundram Naga and Valosek*, Jan and Smith, Andrew C. and Pfyffer, Dario and Schading-Sassenhausen, Simon and Farner, Lynn and II, Kenneth A. Weber and Freund, Patrick and Cohen-Adad, Julien},
  title = {SCIseg: Automatic Segmentation of T2-weighted Intramedullary Lesions in Spinal Cord Injury},
  elocation-id = {2024.01.03.24300794},
  year = {2024},
  doi = {10.1101/2024.01.03.24300794},
  publisher = {Cold Spring Harbor Laboratory Press},
  url = {https://www.medrxiv.org/content/early/2024/04/21/2024.01.03.24300794},
  journal = {medRxiv},
  note = {*shared first authorship}
}

2023

arXiv

Towards contrast-agnostic soft segmentation of the spinal cord

Sandrine Bédard*, Naga Karthik Enamundram*, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera, Andrew Smith, Kenneth Arnold Weber II, and Julien Cohen-Adad

2023

*shared first authorship

Bib PDF Code

@misc{bédard2023contrastagnostic,
  title = {Towards contrast-agnostic soft segmentation of the spinal cord},
  author = {Bédard*, Sandrine and Enamundram*, Naga Karthik and Tsagkas, Charidimos and Pravatà, Emanuele and Granziera, Cristina and Smith, Andrew and II, Kenneth Arnold Weber and Cohen-Adad, Julien},
  year = {2023},
  eprint = {2310.15402},
  archiveprefix = {arXiv},
  primaryclass = {eess.IV},
  note = {*shared first authorship}
}

IEEE OJEMB

Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines

Enamundram Naga Karthik, Farida Cheriet, and Catherine Laporte

IEEE Open Journal of Engineering in Medicine and Biology, 2023

Bib PDF Code

@article{10086579,
  author = {Naga Karthik, Enamundram and Cheriet, Farida and Laporte, Catherine},
  journal = {IEEE Open Journal of Engineering in Medicine and Biology},
  title = {Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-7},
  doi = {10.1109/OJEMB.2023.3262965},
}

2022

MELBA

Label fusion and training methods for reliable representation of inter-rater uncertainty

Andreanne Lemay, Charley Gros, Enamundram Naga Karthik, and Julien Cohen-Adad

Machine Learning for Biomedical Imaging, 2022

Bib PDF

@article{melba:2022:031:lemay,
  title = {Label fusion and training methods for reliable representation of inter-rater uncertainty},
  author = {Lemay, Andreanne and Gros, Charley and Naga Karthik, Enamundram and Cohen-Adad, Julien},
  journal = {Machine Learning for Biomedical Imaging},
  volume = {1},
  issue = {January 2023 issue},
  year = {2022},
  pages = {1--27},
  issn = {2766-905X},
  doi = {https://doi.org/10.59275/j.melba.2022-db5c},
  url = {https://melba-journal.org/2022:031},
}

MedNeurIPS

Segmentation of Multiple Sclerosis Lesion across Hospitals: Learn Continually or Train from Scratch?

Enamundram Naga Karthik, Anne Kerbrat, Pierre Labauge, Tobias Granberg, Jason Talbott, Daniel S Reich, Massimo Filippi, Rohit Bakshi, Virginie Callot, Sarath Chandar, and Julien Cohen-Adad

MedNeurIPS: Medical Imaging Meets NeurIPS Workshop, 2022

Bib PDF Code

@article{nagakarthik2022Segmentation,
  title = {Segmentation of Multiple Sclerosis Lesion across Hospitals: Learn Continually or Train from Scratch?},
  author = {Naga Karthik, Enamundram and Kerbrat, Anne and Labauge, Pierre and Granberg, Tobias and Talbott, Jason and Reich, Daniel S and Filippi, Massimo and Bakshi, Rohit and Callot, Virginie and Chandar, Sarath and Cohen-Adad, Julien},
  journal = {MedNeurIPS: Medical Imaging Meets NeurIPS Workshop},
  year = {2022},
}

2021

SPIE

Three-dimensional segmentation of the scoliotic spine from MRI using unsupervised volume-based MR-CT synthesis

Enamundram M. V. Naga Karthik, Catherine Laporte, and Farida Cheriet

In Medical Imaging 2021: Image Processing, 2021

Bib PDF

@inproceedings{10.1117/12.2580677,
  author = {Karthik, Enamundram M. V. Naga and Laporte, Catherine and Cheriet, Farida},
  title = {{Three-dimensional segmentation of the scoliotic spine from MRI using unsupervised volume-based MR-CT synthesis}},
  volume = {11596},
  booktitle = {Medical Imaging 2021: Image Processing},
  editor = {Išgum, Ivana and Landman, Bennett A.},
  organization = {International Society for Optics and Photonics},
  publisher = {SPIE},
  pages = {115961H},
  keywords = {Vertebrae segmentation , Scoliosis , Cross-modality synthesis, Volume translation , 3D CycleGAN},
  year = {2021},
  doi = {10.1117/12.2580677},
  url = {https://doi.org/10.1117/12.2580677},
}

2020

JASA

Automatic tongue surface extraction from three-dimensional ultrasound vocal tract images

Enamundram M. V. Naga Karthik, Elham Karimi, Steven M. Lulich, and Catherine Laporte

The Journal of the Acoustical Society of America, 2020

Bib

@article{doi:10.1121/10.0000891,
  author = {Naga Karthik, Enamundram M. V. and Karimi, Elham and Lulich, Steven M. and Laporte, Catherine},
  title = {Automatic tongue surface extraction from three-dimensional ultrasound vocal tract images},
  journal = {The Journal of the Acoustical Society of America},
  volume = {147},
  number = {3},
  pages = {1623-1633},
  year = {2020},
  doi = {10.1121/10.0000891},
  url = {https://doi.org/10.1121/10.0000891},
  eprint = {https://doi.org/10.1121/10.0000891}
}