Dr. Bishesh Khanal
Former Executive Director at NAAMII
Full-time Research Scientist at NAAMII leading the TOGAI research group
Specializes in computer vision and NLP for low-resource settings relevant to Low and Middle-Income Countries (LMICs)
Dr. Bishesh Khanal is a full-time Research Scientist at NAAMII, where he leads the TOGAI research group focused on transforming global health through AI. His research pushes the boundaries of machine learning and artificial intelligence with applications relevant to Low and Middle-Income Countries. At TOGAI, his team develops biomedical computer vision methods for low-cost medical imaging solutions, including smartphone-based diagnostics. They also advance Natural Language Processing for Nepali language to enable chatbots, voice bots, and automated clinical report processing for healthcare applications. Dr. Khanal's work emphasizes clinical translational research projects relevant to resource-constrained settings, bridging cutting-edge AI research with practical healthcare solutions for underserved populations.
Publications
2025
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia
Sushmita Adhikari, Iftikhar Ahmed, Deepak Bajracharya, Bishesh Khanal, Chandrasegarar Solomon, Kapila Jayaratne, Khondaker Abdullah Al Mamum, Muhammad Shamim Hayder Talukder, Sunila Shakya, Suresh Manandhar, Zahid Ali Memon, Moinul Haque Chowdhury, Ihtesham ul Islam, Noor Sabah Rakhshani & M. Imran Khan
2025
Assistive Artificial Intelligence in Epilepsy and Its Impact on Epilepsy Care in Low- and Middle-Income Countries
Nabin Koirala, Shishir Raj Adhikari, Mukesh Adhikari, Taruna Yadav, Abdul Rauf Anwar, Dumitru Ciolac, Bibhusan Shrestha, Ishan Adhikari, Bishesh Khanal, Muthuraman Muthuraman
2025
Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment
Mohammod N. I. Suvon, Shuo Zhou, Prasun C. Tripathi, Wenrui Fan, Samer Alabed, Bishesh Khanal, Venet Osmani, Andrew J. Swift, Chen (Cherise) Chen, Haiping Lu
2024
NLPineers@ NLU of Devanagari Script Languages 2025: Hate speech detection using ensembling of BERT-based models
Anmol Guragain, Nadika Poudel, Rajesh Piryani, Bishesh Khanal
2024
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
2024
Deep-learning assisted detection and quantification of (oo) cysts of Giardia and Cryptosporidium on smartphone microscopy images
Suprim Nakarmi, Sanam Pudasaini, Safal Thapaliya, Pratima Upretee, Retina Shrestha, Basant Giri, Bhanu Bhakta Neupane, Bishesh Khanal
2024
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification
Bidur Khanal, Prashant Shrestha, Sanskar Amgain, Bishesh Khanal, Binod Bhattarai, Cristian A Linte
2024
AI-Assisted Cervical Cancer Screening
Kanchan Poudel, Lisasha Poudel, Prabin Raj Shakya, Atit Poudel, Archana Shrestha, Bishesh Khanal
2024
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian Linte
2023
Emerging Avenue of Artificial Intelligence and Ethical Considerations
2023
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
2023
Exploring transfer learning in medical image segmentation using vision-language models
2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Bishesh Khanal, Martijn Starmans
2023
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A Linte
2023
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks
Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A Linte
2023
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction
2023
Investigating the impact of class-dependent label noise in medical image classification
Bidur Khanal, SM Kamrul Hasan, Bishesh Khanal, Cristian A Linte
2023
Fast fetal head compounding from multi-view 3D ultrasound
Robert Wright, Alberto Gomez, Veronika A Zimmer, Nicolas Toussaint, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V Hajnal, Julia A Schnabel
2022
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022
Challenges of Deep Learning Methods for COVID-19 Detection Using Public Datasets
Md Kamrul Hasan, Md Ashraful Alam, Lavsen Dahal, Md Toufick E Elahi, Shidhartho Roy, Sifat Redwan Wahid, Robert Marti, Bishesh Khanal
2022
COVID-19-related Nepali Tweets Classification in a Low Resource Setting
Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
2022
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation
2022
Label Geometry Aware Discriminator for Conditional Generative Networks
Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim
2021
COVID-19 control strategies and intervention effects in resource limited settings: a modeling study
Kiran Raj Pandey, Anup Subedee, Bishesh Khanal, Bhagawan Koirala
2021
Machine-Learning-Assisted Analysis of Colorimetric Assays on Paper Analytical Devices
Bidur Khanal, Pravin Pokhrel, Bishesh Khanal, Basant Giri
2021
Evaluation and Comparison of Accurate Automated Spinal Curvature Estimation Algorithms with Spinal Anterior-posterior X-Ray Images: The AASCE2019 Challenge
Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li
2020
Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison
E Skelton, J Matthew, Y Li, Bishesh Khanal, JJ Cerrolaza Martinez, N Toussaint, C Gupta, C Knight, B Kainz, JV Hajnal, M Rutherford
2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation
Lavsen Dahal, Aayush Kafle, Bishesh Khanal
2020
Ensemble U-Net model for efficient polyp segmentation
2019
Complete Fetal Head Compounding from Multi-View 3D Ultrasound
Bishesh Khanal, Robert and Toussaint, Nicolas and Gomez, Alberto and Zimmer, Veronika and Matthew, Jacqueline and Skelton, Emily and, Bishesh Khanal, and Kainz, Bernhard and Reuckert, Daniel and Hajnal, Jo and Schnabel, Julia
2019
Complete Fetal Head Compounding from Multi-View 3D Ultrasound
Bishesh Khanal, Robert and Toussaint, Nicolas and Gomez, Alberto and Zimmer, Veronika and Matthew, Jacqueline and Skelton, Emily and, Bishesh Khanal, and Kainz, Bernhard and Reuckert, Daniel and Hajnal, Jo and Schnabel, Julia
2019
Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression
Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal
2019
Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging
Alberto Gomez, Veronika Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou Van Poppel, Emily Skelton, Jackie Matthews, and Julia A. Schnabel
2019
Towards whole placenta segmentation at late gestation using multi-view ultrasound images
Zimmer, Veronika and Gomez, Alberto and Skelton, Emily and Toussaint, Nicolas and Zhang, Tong and, Bishesh Khanal, and Wright, Robert and Noh, Yohan and Ho, Alison and Matthew, Jacqueline and Schnabel, Julia
2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers
Buddhi Pathak, Samuel and Sinclair, Matthew and, Bishesh Khanal, and Matthew, Jacqueline and Llyod, David and Gomez, Alberto and Toussaint, Nicolas and Robinson, Emma and Kainz, Bernhard
2019
Adapted and Oversegmenting Graphs: Application to Geometric Deep Learning
Alberto Gomez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel