Publications

An up to date list can be found at my GoogleScholar page.

2021

  • Bidur Khanal, Pravin Pokhrel, Bishesh Khanal, and Basant Giri. Machine-learning-assisted analysis of colorimetric assays on paper analytical devices. ACS omega, 6(49):33837–33845, 2021.
    [BibTeX▼]
  • Kiran Raj Pandey, Anup Subedee, Bishesh Khanal, and Bhagawan Koirala. Covid-19 control strategies and intervention effects in resource limited settings: a modeling study. Plos one, 16(6):e0252570, 2021.
    [BibTeX▼]
  • Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, and others. Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior x-ray images: the aasce2019 challenge. Medical Image Analysis, pages 102115, 2021.
    [BibTeX▼]
  • E Skelton, J Matthew, Y Li, B Khanal, JJ Cerrolaza Martinez, N Toussaint, C Gupta, C Knight, B Kainz, JV Hajnal, and others. Towards automated extraction of 2d standard fetal head planes from 3d ultrasound acquisitions: a clinical evaluation and quality assessment comparison. Radiography, 2021.
    [BibTeX▼]
  • Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, and Tae-Kyun Kim. Label geometry aware discriminator for conditional generative networks. arXiv preprint arXiv:2105.05501, 2021.
    [BibTeX▼]

2020

  • Md Kamrul Hasan, Md Ashraful Alam, Lavsen Dahal, Md Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid, Robert Marti, and Bishesh Khanal. Challenges of deep learning methods for covid-19 detection using public datasets. medRxiv, 2020.
    [BibTeX▼]
  • Lavsen Dahal, Aayush Kafle, and Bishesh Khanal. Uncertainty estimation in deep 2d echocardiography segmentation. arXiv preprint arXiv:2005.09349, 2020.
    [full text] [BibTeX▼]

2019

  • Bidur Khanal, Lavsen Dahal, Prashant Adhikari, and Bishesh Khanal. Automatic cobb angle detection using vertebra detector and vertebra corners regression. In CSI workshop and Challenge in MICCAI. 2019.
    [BibTeX▼]
  • Alberto Gomez, Veronika Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou Van Poppel, Emily Skelton, Jackie Matthews, and Julia A. Schnabel. Image reconstruction in a manifold of image patches: application to whole-fetus ultrasound imaging. In MLMIR in MICCAI. 2019.
    [BibTeX▼]
  • Robert Wright, Nicolas Toussaint, Alberto Gomez, Veronika Zimmer, Jacqueline Matthew, Emily Skelton, Bishesh Khanal, Bernhard Kainz, Daniel Reuckert, Jo Hajnal, and Julia Schnabel. Complete fetal head compounding from multi-view 3d ultrasound. In MICCAI. 2019.
    [BibTeX▼]
  • Veronika Zimmer, Alberto Gomez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, and Julia Schnabel. Towards whole placenta segmentation at late gestation using multi-view ultrasound images. In MICCAI. 2019. Accepted.
    [BibTeX▼]
  • Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Llyod, Alberto Gomez, Nicolas Toussaint, Emma Robinson, and Bernhard Kainz. Confident head circumference measurement from ultrasound with real-time feedback for sonographers. In MICCAI. 2019. Accepted.
    [BibTeX▼]
  • Loic Le Folgoc, Daniel C. Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, and Ben Glocker. Controlling meshes via curvature: spin transformations for pose-invariant shape processing. In The 26th international conference on Information Processing in Medical Imaging (IPMI) June 2-7. 2019. Accepted.
    [abstract▼] [full text] [BibTeX▼]

2018

  • Bishesh Khanal, Alberto Gomez, Nicolas Toussaint, Steven McDonagh, Veronika Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, and Bernhard Kainz. Echofusion: tracking and reconstruction of objects in 4d freehand ultrasound imaging without external trackers. In MICCAI 2018 Workshop on Perinatal, Preterm and Paediatric Image analysis, Granada, Spain. 2018.
    [abstract▼] [full text] [BibTeX▼]
  • Robert Wright, Bishesh Khanal, Alberto Gomez, Emily Skelton, Jacqueline Matthew, Joseph Hajnal, Daniel Rueckert, and Julia Schnabel. Lstm spatial co-transformer networks for registration of 3d fetal us and mr brain images. In MICCAI 2018 Workshop on Perinatal, Preterm and Paediatric Image analysis, Granada, Spain. 2018.
    [abstract▼] [BibTeX▼]
  • Veronika Zimmer, Alberto Gomez, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta-Pereira, Milou Van-Poppel, Emily Skelton, Jacqueline Matthew, and Julia Schnabel. Multi-view image reconstruction: application to fetal ultrasound compounding. In MICCAI 2018 Workshop on Perinatal, Preterm and Paediatric Image analysis, Granada, Spain. 2018.
    [abstract▼] [BibTeX▼]
  • Nicolas Toussaint, Bishesh Khanal, Emily Skelton, Jacqueline Matthew, Alberto Gomez, Matthew Sinclair, Bernhard Kainz, and Julia Schnabel. Weakly supervised localisation for fetal ultrasound images. In MICCAI 2018 Workshop on Deep Learning in Medical Image Analysis, Granada, Spain. 2018.
    [abstract▼] [full text] [BibTeX▼]
  • Yuanwei Li, Amir Alansary, Juan Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, and Daniel Rueckert. Fast multiple landmark localisation using a patch-based iterative network. In MICCAI. 2018.
    [abstract▼] [full text] [BibTeX▼]
  • Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, and Daniel Rueckert. Standard plane detection in 3d fetal ultrasound using an iterative transformation network. In MICCAI. 2018.
    [abstract▼] [full text] [BibTeX▼]
  • Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew CH Lee, Amir Alansary, Steven McDonagh, Jo V Hajnal, Daniel Rueckert, Ben Glocker, and Bernhard Kainz. Computing cnn loss and gradients for pose estimation with riemannian geometry. In MICCAI. 2018.
    [abstract▼] [full text] [BibTeX▼]
  • B. Hou, B. Khanal, A. Alansary, S. McDonagh, A. Davidson, M. Rutherford, J. V. Hajnal, D. Rueckert, B. Glocker, and B. Kainz. 3d reconstruction in canonical co-ordinate space from arbitrarily oriented 2d images. IEEE Transactions on Medical Imaging, PP(99):1–1, 2018. URL: http://ieeexplore.ieee.org/document/8295121/, doi:10.1109/TMI.2018.2798801.
    [abstract▼] [BibTeX▼]
  • Alberto Gomez, Veronika A Zimmer, Bishesh Khanal, Nicolas Toussaint, and Julia A Schnabel. Oversegmenting graphs. arXiv preprint arXiv:1806.00411, 2018. preprint, in preparation.
    [abstract▼] [full text] [BibTeX▼]

2017

  • Bishesh Khanal, Nicholas Ayache, and Xavier Pennec. Simulating longitudinal brain mris with known volume changes and realistic variations in image intensity. Frontiers in Neuroscience, 11:132, 2017. URL: http://journal.frontiersin.org/article/10.3389/fnins.2017.00132, doi:10.3389/fnins.2017.00132.
    [abstract▼] [full text] [BibTeX▼]

2016

  • Bishesh Khanal. Modeling and simulation of realistic longitudinal structural brain MRIs with atrophy in Alzheimer's disease. Theses, Université Nice Sophia Antipolis, July 2016.
    [abstract▼] [full text] [BibTeX▼]
  • Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. A biophysical model of brain deformation to simulate and analyze longitudinal mris of patients with alzheimer's disease. NeuroImage, 134():35 – 52, 2016. URL: http://www.sciencedirect.com/science/article/pii/S1053811916300052, doi:10.1016/j.neuroimage.2016.03.061.
    [abstract▼] [full text] [BibTeX▼]

2015

  • Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Simulating patient specific multiple time-point mris from a biophysical model of brain deformation in alzheimer's disease. In Grand Joldes, Barry Doyle, Adam Wittek, Poul M. F. Nielsen, and Karol Miller, editors, A MICCAI Workshop on Computational Biomechanics for Medicine-X, 2015, Munich, Germany, Computational Biomechanics for Medicine: Imaging, Modeling and Computing, 177–186. Springer International Publishing AG, 2015. doi:10.1007/978-3-319-28329-6.
    [abstract▼] [full text] [BibTeX▼]

2014

  • Nina Miolane and Bishesh Khanal. Statistics on lie groups for computational anatomy. In Educational Video Challenge of Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Boston, USA. 2014. video, 1st WON POPULAR PRIZE. URL: http://www.miccai.org/edu/videos.html#mec2014winners.
    [BibTeX▼]
  • Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, and Robert Howe, editors, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Boston, USA, volume 8674 of Lecture Notes in Computer Science, 41–48. Springer International Publishing, 2014. URL: http://dx.doi.org/10.1007/978-3-319-10470-6_6, doi:10.1007/978-3-319-10470-6_6.
    [abstract▼] [full text] [BibTeX▼]

2012

  • Bishesh Khanal, Sharib Ali, and Désiré Sidibé. Robust road signs segmentation in color images. In Proceedings of the International Conference on Computer Vision Theory and Applications, 2012, Rome, Italy, 307–310. 2012. doi:10.5220/0003802103070310.
    [abstract▼] [full text] [BibTeX▼]

2011

  • Bishesh Khanal and Désiré Sidibé. Efficient skin detection under severe illumination changes and shadows. In Sabina Jeschke, Honghai Liu, and Daniel Schilberg, editors, Intelligent Robotics and Applications: 4th International Conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, Proceedings, Part II, 609–618. Berlin, Heidelberg, 2011. Springer Berlin Heidelberg. URL: http://dx.doi.org/10.1007/978-3-642-25489-5_59, doi:10.1007/978-3-642-25489-5_59.
    [abstract▼] [full text] [BibTeX▼]