Bishesh Khanalविशेष खनाल
Scientist · Publications

Publications

69 papers, preprints and proceedings, from biophysical brain models to AI for maternal health and the reorganization of work. The most current list is on Google Scholar.

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Type

Showing 69 · bold = Bishesh Khanal

2026

  1. Automated quality assessment of blind sweep obstetric ultrasound for improved diagnosis
    Bhandari P, Poudel K, Luitel N, Acharya B, Ghimire A, Wellman T, Koepsell K, Regmi PR, Khanal B
    Medical Imaging with Deep Learning (MIDL). Proc Mach Learn Res, 2026;315:2987-2997
    conferencearXiv
  2. Evaluating large language models' responses to sexual and reproductive health queries in Nepali
    Sharma M, Khadka S, Aryal UC, Bhatta BH, Bhattarai B, Dahal S, Gautam K, Joshi P, Kafle S, Khadka S, Khadka S, Lamichhane B, Lamichhane S, Parajuli A, Pokharel S, Sitaula S, Verma N, Khanal B
    arXiv preprint
    preprint
  3. The AI pyramid: a conceptual framework for workforce capability in the age of AI
    Khatri A, Khanal B
    arXiv preprint
    preprint
  4. From development to deployment of AI-assisted telehealth and screening for vision and hearing-threatening diseases in resource-constrained settings
    Shakya M, Adhikari B, Shrestha N, Koirala B, Adhikari A, Poudyal P, Mathema L, Buddhacharya S, Khatri B, Khanal B
    MICCAI Workshop
    workshop
  5. Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs
    Adams R, Adeleke F, Junck L, Alayande A, Gupta A, Aneja U, Segun S, Parkes-Ratanshi R, Abdella S, Gaffley M, Mahoney S, Makamu R, Eghele Adade N, Bian L, Kintu T, Mugume A, Germani A, El Kawak M, Patel B, Lawa O, …, Khanal B, …, Morris S
    Nature Computational Science, 2026;6(5):441-449
    journalDOI

2025

  1. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
    Lekadir K, Frangi AF, Porras AR, Glocker B, Cintas C, Langlotz CP, Weicken E, Asselbergs FW, Prior F, Collins GS, Kaissis G, Tsakou G, Buvat I, Kalpathy-Cramer J, Mongan J, Schnabel JA, Kushibar K, Riklund K, Marias K, Amugongo LM, …, FUTURE-AI Consortium (incl. Khanal B)
    BMJ, 2025;388:e081554
    journalDOI
  2. Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia
    Adhikari S, Ahmed I, Bajracharya D, Khanal B, Solomon C, Jayaratne K, Mamum KAA, Talukder MSH, Shakya S, Manandhar S, Memon ZA, Chowdhury MH, Ul Islam I, Rakhshani NS, Khan MI
    NPJ Digit Med, 2025;8(1):139
    journalDOI
  3. Topology-driven fusion of nnU-Net and MedNeXt for accurate brain tumor segmentation on Sub-Saharan Africa dataset
    Bohara P, Shrestha PK, Rai A, Lamgade UP, Raymond C, Zhang D, Lorumbu A, Jones C, Shakya M, Khanal B, Kulung P
    MICCAI
    conference
  4. Adaptive frame selection for gestational age estimation from blind sweep fetal ultrasound videos
    Akumu T, Elbatel M, Campello VM, Osuala R, Martin-Isla C, Valenzuela I, Li X, Khanal B, Lekadir K
    Medical Image Computing and Computer Assisted Intervention (MICCAI). LNCS 15973. Cham: Springer; 2025:3-12
    conferenceCode
  5. Assistive artificial intelligence in epilepsy and its impact on epilepsy care in low- and middle-income countries
    Koirala N, Adhikari SR, Adhikari M, Yadav T, Anwar AR, Ciolac D, Shrestha B, Adhikari I, Khanal B, Muthuraman M
    Brain Sci, 2025;15(5):481
    journalDOI
  6. Multimodal latent fusion of ECG leads for early assessment of pulmonary hypertension
    Suvon MNI, Zhou S, Tripathi PC, Fan W, Alabed S, Khanal B, Osmani V, Swift AJ, Chen, Chen, Lu H
    arXiv preprint
    preprintarXiv
  7. Leapfrogging health services delivery in resource-limited settings with artificial intelligence
    Pandey KR, Khanal B, Anazodo U, et al
    SSRN
    preprint

2024

  1. Investigating the robustness of vision transformers against label noise in medical image classification
    Khanal B, Shrestha P, Amgain S, Khanal B, Bhattarai B, Linte CA
    46th Annual Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC). 2024:1-6. IEEE
    conference
  2. VLSM-adapter: finetuning vision-language segmentation efficiently with lightweight blocks
    Dhakal M, Adhikari R, Thapaliya S, Khanal B
    MICCAI. 2024:712-722. Springer
    conference
  3. TuneVLSeg: prompt tuning benchmark for vision-language segmentation models
    Adhikari R, Thapaliya S, Dhakal M, Khanal B
    Asian Conf. on Computer Vision (ACCV). 2024:126-144
    conference
  4. AI-assisted cervical cancer screening
    Poudel K, Poudel L, Shakya PR, Poudel A, Shrestha A, Khanal B
    arXiv preprint
    preprintarXiv
  5. How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
    Khanal B, Bhattarai B, Khanal B, Linte C
    arXiv preprint
    preprintarXiv
  6. Exploring transfer learning in medical image segmentation using vision-language models
    Poudel K, Dhakal M, Bhandari P, Adhikari R, Thapaliya S, Khanal B
    Medical Imaging with Deep Learning (MIDL), Paris, 2024;7:1142-1165
    conference
  7. Nlpineers@ NLU of Devanagari script languages 2025: hate speech detection using ensembling of BERT-based models
    Guragain A, Poudel N, Piryani R, Khanal B
    arXiv preprint
    workshoparXiv
  8. Parameter-efficient fine-tuning for improved convolutional baseline for brain tumor segmentation in Sub-Saharan Africa adult glioma dataset
    Adhikari B, Kulung P, Bohaju J, Poudel LK, Raymond C, Zhang D, Anazodo UC, Khanal B, Shakya M
    arXiv preprint
    preprintarXiv
  9. Community-based screening of cervical cancer in an urban setting in Nepal: a cross-sectional study
    Shrestha A, Poudel L, Khanal B, Poudel K, Shakya S, Timsina P, Shakya P, Shrestha S, Paneru B
    Kathmandu Univ Med J, 2024;88(4):413-418
    journal
  10. Simplifying medical ultrasound: 5th International Workshop, ASMUS 2024 (with MICCAI 2024), Marrakesh, Morocco
    Gomez A, Khanal B, King A, Namburete A
    Springer
    proceedings

2023

  1. Fast fetal head compounding from multi-view 3D ultrasound
    Wright R, Gomez A, Zimmer VA, Toussaint N, Khanal B, Matthew J, Skelton E, Kainz B, Rueckert D, Hajnal JV, Schnabel JA
    Med Image Anal, 2023;89:102793
    journalDOI
  2. Investigating the impact of class-dependent label noise in medical image classification
    Khanal B, Hasan SMK, Khanal B, Linte CA
    Proc. SPIE Medical Imaging. Vol 12464. 2023:1246437
    conference
  3. M-VAAL: multimodal variational adversarial active learning for downstream medical image analysis tasks
    Khanal B, Bhattarai B, Khanal B, Stoyanov D, Linte CA
    Medical Image Understanding and Analysis (MIUA). 2023:48-63. Springer
    conference
  4. Benchmarking encoder-decoder architectures for biplanar X-ray to 3D bone shape reconstruction
    Shakya M, Khanal B
    Adv Neural Inf Process Syst (NeurIPS), 2023;36:20469-20481
    conference
  5. Improving medical image classification in noisy labels using only self-supervised pretraining
    Khanal B, Bhattarai B, Khanal B, Linte CA
    MICCAI Workshop on Data Engineering in Medical Imaging (DEMI). 2023:78-90. Springer
    workshop
  6. Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images
    Nakarmi S, Pudasaini S, Thapaliya S, Upretee P, Shrestha R, Giri B, Neupane BB, Khanal B
    arXiv preprint
    preprintarXiv
  7. Simplifying medical ultrasound: 4th International Workshop, ASMUS 2023 (with MICCAI 2023), Vancouver
    Kainz B, Noble A, Schnabel JA, Khanal B, Müller JP, Day T
    Springer
    proceedings
  8. Emerging avenue of artificial intelligence and ethical considerations
    Khanal B
    2023
    other
  9. Improving medical image classification
    Bhattarai B, Khanal B, Linte CA
    Data Engineering in Medical Imaging (DEMI), MICCAI Workshop. LNCS 14314. 2023:78. Springer
    workshop

2022

  1. Challenges of deep learning methods for COVID-19 detection using public datasets
    Hasan MK, Alam MA, Dahal L, Roy S, Wahid SR, Elahi MTE, Martí R, Khanal B
    Informatics Med Unlocked, 2022;30:100945
    journalDOI
  2. Label geometry aware discriminator for conditional generative networks
    Sapkota S, Khanal B, Bhattarai B, Khanal B, Kim T-K
    Int. Conf. on Pattern Recognition (ICPR), Montreal
    conference
  3. Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: DeCaF 2022 & FAIR 2022 (with MICCAI 2022), Singapore
    Albarqouni S, Bakas S, Bano S, Cardoso MJ, Khanal B, Landman B, Li X, Qin C, Rekik I, Rieke N, et al
    Springer
    proceedings
  4. FixmatchSeg: fixing FixMatch for semi-supervised semantic segmentation
    Upretee P, Khanal B
    arXiv preprint
    preprintarXiv
  5. COVID-19-related Nepali tweets classification in a low resource setting
    Adhikari R, Thapaliya S, Basnet N, Poudel S, Shakya A, Khanal B
    Social Media Mining for Health (SMM4H), COLING 2022
    workshop
  6. Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: DART 2021 & FAIR 2021
    Albarqouni S, Cardoso MJ, Dou Q, Kamnitsas K, Khanal B, Rekik I, Rieke N, Sheet D, Tsaftaris S, Xu D, et al
    Springer; 2021 (pub 2022)
    proceedings

2021

  1. COVID-19 control strategies and intervention effects in resource limited settings: a modeling study
    Pandey KR, Subedee A, Khanal B, Koirala B
    PLoS One, 2021;16(6):e0252570
    journalDOI
  2. Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal AP X-ray images: the AASCE2019 challenge
    Wang L, Xie C, Lin Y, Zhou HY, Chen K, Cheng D, Dubost F, Collery B, Khanal B, Khanal B, Tao R, Xu S, Upadhyay Bharadwaj U, Zhong Z, Li J, Wang S, Li S
    Med Image Anal, 2021;72:102115
    journalDOI
  3. Machine-learning-assisted analysis of colorimetric assays on paper analytical devices
    Khanal B, Pokhrel P, Khanal B, Giri B
    ACS Omega, 2021;6(49):33837-33845
    journalDOI
  4. Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: a clinical evaluation and quality assessment comparison
    Skelton E, Matthew J, Li Y, Khanal B, Cerrolaza JJ, Toussaint N, Gupta C, Knight C, Kainz B, Hajnal JV, Rueckert D
    Radiography, 2021;27(2):519-526
    journalDOI

2020

  1. Automatic Cobb angle detection using vertebra detector and vertebra corners regression
    Khanal B, Dahal L, Adhikari P, Khanal B
    Computational Methods and Clinical Applications for Spine Imaging (CSI 2019). LNCS. 2020:81-87. Springer
    conference
  2. Uncertainty estimation in deep 2D echocardiography segmentation
    Dahal L, Kafle A, Khanal B
    arXiv preprint
    preprintarXiv
  3. Ensemble U-Net model for efficient polyp segmentation
    Shrestha S, Khanal B, Ali S
    MediaEval
    workshop

2019

  1. Controlling meshes via curvature: spin transformations for pose-invariant shape processing
    Le Folgoc L, Castro DC, Tan J, Khanal B, Kamnitsas K, Walker I, Alansary A, Glocker B
    Information Processing in Medical Imaging (IPMI), Hong Kong. LNCS 11492. 2019:221-234. Springer
    conference
  2. Confident head circumference measurement from ultrasound with real-time feedback for sonographers
    Budd S, Sinclair M, Khanal B, Matthew J, Lloyd D, Gomez A, Toussaint N, Robinson EC, Kainz B
    MICCAI. 2019:683-691. Springer
    conference
  3. Complete fetal head compounding from multi-view 3D ultrasound
    Wright R, Toussaint N, Gomez A, Zimmer V, Khanal B, Matthew J, Skelton E, Kainz B, Rueckert D, Hajnal JV, Schnabel JA
    MICCAI. 2019:384-392. Springer
    conference
  4. Towards whole placenta segmentation at late gestation using multi-view ultrasound images
    Zimmer VA, Gomez A, Skelton E, Toussaint N, Zhang T, Khanal B, Wright R, Noh Y, Ho A, Matthew J, Hajnal JV, Schnabel JA
    MICCAI. 2019:628-636. Springer
    conference
  5. Image reconstruction in a manifold of image patches: application to whole-fetus ultrasound imaging
    Gomez A, Zimmer VA, Toussaint N, Wright R, Clough JR, Khanal B, van Poppel MPM, Skelton E, Matthews J, Schnabel JA
    Int. Workshop on Machine Learning for Medical Image Reconstruction (MLMIR). 2019:226-235. Springer
    workshop

2018

  1. 3-D reconstruction in canonical coordinate space from arbitrarily oriented 2-D images
    Hou B, Khanal B, Alansary A, McDonagh S, Davidson A, Rutherford M, Hajnal JV, Rueckert D, Glocker B, Kainz B
    IEEE Trans Med Imaging, 2018;37(8):1737-1750
    journalDOI
  2. Computing CNN loss and gradients for pose estimation with Riemannian geometry
    Hou B, Miolane N, Khanal B, Lee MCH, Alansary A, McDonagh S, Hajnal JV, Rueckert D, Glocker B, Kainz B
    MICCAI. 2018:756-764. Springer
    conference
  3. Fast multiple landmark localisation using a patch-based iterative network
    Li Y, Alansary A, Cerrolaza JJ, Khanal B, Sinclair M, Matthew J, Gupta C, Knight C, Kainz B, Rueckert D
    MICCAI. 2018:563-571. Springer
    conference
  4. Standard plane detection in 3D fetal ultrasound using an iterative transformation network
    Li Y, Khanal B, Hou B, Alansary A, Cerrolaza JJ, Sinclair M, Matthew J, Gupta C, Knight C, Kainz B, Rueckert D
    MICCAI. 2018:392-400. Springer
    conference
  5. EchoFusion: tracking and reconstruction of objects in 4D freehand ultrasound imaging without external trackers
    Khanal B, Gomez A, Toussaint N, McDonagh S, Zimmer V, Skelton E, Matthew J, Grzech D, Wright R, Gupta C, Hou B, Rueckert D, Schnabel JA, Kainz B
    Preterm, Perinatal and Paediatric Image Analysis (PIPPI). 2018:117-127. Springer
    workshop
  6. Weakly supervised localisation for fetal ultrasound images
    Toussaint N, Khanal B, Sinclair M, Gomez A, Skelton E, Matthew J, Schnabel JA
    Deep Learning in Medical Image Analysis (DLMIA). 2018:192-200. Springer
    workshop
  7. Multi-view image reconstruction: application to fetal ultrasound compounding
    Zimmer VA, Gomez A, Noh Y, Toussaint N, Khanal B, Wright R, Peralta L, Poppel MV, Skelton E, Matthew J, Schnabel JA
    PIPPI. 2018:107-116. Springer
    workshop
  8. LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images
    Wright R, Khanal B, Gomez A, Skelton E, Matthew J, Hajnal JV, Rueckert D, Schnabel JA
    PIPPI. 2018:149-159. Springer
    workshop
  9. Deep pose estimation for image-based registration
    Hou B, Miolane N, Khanal B, Lee M, Alansary A, McDonagh S, Hajnal JV, Rueckert D, Glocker B, Kainz B
    2018
    preprint
  10. Spectral analysis towards geometric auto-encoding of subcortical structures
    Le Folgoc L, Khanal B, Alansary A, Kamnitsas K, Walker I, Glocker B
    2018
    preprint
  11. Image-based registration in canonical atlas space
    Hou B, Khanal B, Alansary A, McDonagh S, Davidson A, Rutherford M, Hajnal JV, Rueckert D, Glocker B, Kainz B
    2018
    preprint
  12. Standard plane localisation in 3D fetal ultrasound using network with geometric and image loss
    Li Y, Cerrolaza JJ, Sinclair M, Hou B, Alansary A, Khanal B, Matthew J, Kainz B, Rueckert D
    2018
    preprint
  13. Adapted and oversegmenting graphs: application to geometric deep learning
    Gomez A, Zimmer VA, Khanal B, Toussaint N, Schnabel JA
    arXiv preprint
    preprintarXiv

2017

  1. Simulating longitudinal brain MRIs with known volume changes and realistic variations in image intensity
    Khanal B, Ayache N, Pennec X
    Front Neurosci, 2017;11:132
    journalDOI

2016

  1. A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease
    Khanal B, Lorenzi M, Ayache N, Pennec X
    NeuroImage, 2016;134:35-52
    journalDOI
  2. Modélisation et simulation réaliste d'IRMs cérébrales structurelles longitudinales avec atrophie appliquées à la maladie d'Alzheimer
    Khanal B
    PhD thesis. Université Côte d'Azur, Nice
    thesis
  3. Modeling and simulation of realistic longitudinal structural brain MRIs with atrophy in Alzheimer's disease
    Khanal B
    PhD thesis. INRIA Sophia Antipolis
    thesis

2012

  1. Robust road signs segmentation in color images
    Khanal B, Ali S, Sidibé D
    Int. Conf. on Computer Vision Theory and Applications (VISAPP). Vol 2. 2012:307-310. SCITEPRESS
    conference

2011

  1. Efficient skin detection under severe illumination changes and shadows
    Khanal B, Sidibé D
    Int. Conf. on Intelligent Robotics and Applications (ICIRA). 2011:609-618. Springer
    conference

2009

  1. SoC approach in designing vision-based robot
    Khanal B, Parajuli D, Twanabasu D, Bista SR
    Bachelor's thesis. Institute of Engineering
    thesis