Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT


Oct 25, 2022
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan

Add code

* This manuscript is currently under review at Medical Physics 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)


May 20, 2022
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan

Add code

* This paper has been early accepted by MICCAI 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection


May 11, 2022
Jiening Zhu, Harini Veeraraghavan, Larry Norton, Joseph O. Deasy, Allen Tannenbaum

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs


Jan 26, 2022
Jue Jiang, Harini Veeraraghavan

Add code

* This manuscript is currently under minor revision at IEEE Transactions on Medical Imaging 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation


Jul 16, 2021
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan

Add code

* This manuscript is current under review at IEEE Transactions on Medical Imaging 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation


Feb 26, 2021
Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan

Add code

* Under Review 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Nested-block self-attention for robust radiotherapy planning segmentation


Feb 26, 2021
Harini Veeraraghavan, Jue Jiang, Sharif Elguindi, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya Apte, Laura Cervino, Joseph O. Deasy

Add code

* Under review at Medical Image Analysis 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation


Jul 19, 2020
Jue Jiang, Harini Veeraraghavan

Add code

* MICCAI 2020 
* This paper has been accepted by MICCAI2020 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation


Jul 18, 2020
Jue Jiang, Yu Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan

Add code

* IEEE Transactions on Medical Imaging, 2020 
* This paper has been accepted by IEEE Transactions on Medical Imaging 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>