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2020 – today
- 2025
[e4]Alberto Gómez
, Bishesh Khanal, Andrew P. King, Ana I. L. Namburete:
Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15186, Springer 2025, ISBN 978-3-031-73646-9 [contents]- 2024
- [c25]Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal:
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks. MICCAI (9) 2024: 712-722 - [i26]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? CoRR abs/2401.07990 (2024) - [i25]Bidur Khanal, Prashant Shrestha, Sanskar Amgain, Bishesh Khanal, Binod Bhattarai, Cristian A. Linte:
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification. CoRR abs/2402.16734 (2024) - [i24]Kanchan Poudel, Lisasha Poudel, Prabin Raj Shakya, Atit Poudel, Archana Shrestha, Bishesh Khanal:
AI-Assisted Cervical Cancer Screening. CoRR abs/2403.11936 (2024) - [i23]Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal:
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks. CoRR abs/2405.06196 (2024) - [i22]Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal:
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models. CoRR abs/2410.05239 (2024) - 2023
- [j4]Robert Wright, Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Fast fetal head compounding from multi-view 3D ultrasound. Medical Image Anal. 89: 102793 (2023) - [c24]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining. DEMI@MICCAI 2023: 78-90 - [c23]Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal:
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography. ASMUS@MICCAI 2023: 89-99 - [c22]Bidur Khanal, S. M. Kamrul Hasan, Bishesh Khanal, Cristian A. Linte:
Investigating the impact of class-dependent label noise in medical image classification. Medical Imaging: Image Processing 2023 - [c21]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte:
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. MIUA 2023: 48-63 - [c20]Mahesh Shakya, Bishesh Khanal:
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction. NeurIPS 2023 - [e3]Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0 [contents] - [i21]Suprim Nakarmi, Sanam Pudasaini, Safal Thapaliya, Pratima Upretee, Retina Shrestha, Basant Giri, Bhanu Bhakta Neupane, Bishesh Khanal:
Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images. CoRR abs/2304.05339 (2023) - [i20]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Danail Stoyanov, Cristian A. Linte:
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks. CoRR abs/2306.12376 (2023) - [i19]Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Cristian A. Linte:
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining. CoRR abs/2308.04551 (2023) - [i18]Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal:
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models. CoRR abs/2308.07706 (2023) - [i17]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - [i16]Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal:
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography. CoRR abs/2309.12829 (2023) - [i15]Mahesh Shakya, Bishesh Khanal:
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction. CoRR abs/2309.13587 (2023) - 2022
- [c19]Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal:
COVID-19-related Nepali Tweets Classification in a Low Resource Setting. SMM4H@COLING 2022: 209-215 - [c18]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Adversarial Networks. ICPR 2022: 2914-2920 - [e2]Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu:
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [i14]Pratima Upretee, Bishesh Khanal:
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation. CoRR abs/2208.00400 (2022) - [i13]Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal:
COVID-19-related Nepali Tweets Classification in a Low Resource Setting. CoRR abs/2210.05425 (2022) - 2021
- [j3]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:
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. 72: 102115 (2021) - [e1]Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12968, Springer 2021, ISBN 978-3-030-87721-7 [contents] - [i12]Suman Sapkota, Bidur Khanal, Binod Bhattarai, Bishesh Khanal, Tae-Kyun Kim:
Label Geometry Aware Discriminator for Conditional Generative Networks. CoRR abs/2105.05501 (2021) - 2020
- [c17]Shruti Shrestha, Bishesh Khanal, Sharib Ali:
Ensemble U-Net Model for Efficient Polyp Segmentation. MediaEval 2020 - [i11]Lavsen Dahal, Aayush Kafle, Bishesh Khanal:
Uncertainty Estimation in Deep 2D Echocardiography Segmentation. CoRR abs/2005.09349 (2020)
2010 – 2019
- 2019
- [c16]Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI 2019: 221-234 - [c15]Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal:
Automatic Cobb Angle Detection Using Vertebra Detector and Vertebra Corners Regression. CSI@MICCAI 2019: 81-87 - [c14]Alberto Gómez, Veronika A. Zimmer, Nicolas Toussaint, Robert Wright, James R. Clough, Bishesh Khanal, Milou P. M. van Poppel, Emily Skelton, Jackie Matthews, Julia A. Schnabel:
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging. MLMIR@MICCAI 2019: 226-235 - [c13]Robert Wright, Nicolas Toussaint, Alberto Gómez, Veronika A. M. Zimmer, Bishesh Khanal, Jacqueline Matthew, Emily Skelton, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Complete Fetal Head Compounding from Multi-view 3D Ultrasound. MICCAI (3) 2019: 384-392 - [c12]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nicolas Toussaint, Tong Zhang, Bishesh Khanal, Robert Wright, Yohan Noh, Alison Ho, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images. MICCAI (5) 2019: 628-636 - [c11]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers. MICCAI (4) 2019: 683-691 - [i10]Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker:
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR abs/1903.02429 (2019) - [i9]Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gómez, Nicolas Toussaint, Emma C. Robinson, Bernhard Kainz:
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers. CoRR abs/1908.02582 (2019) - [i8]Bidur Khanal, Lavsen Dahal, Prashant Adhikari, Bishesh Khanal:
Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression. CoRR abs/1910.14202 (2019) - 2018
- [j2]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images. IEEE Trans. Medical Imaging 37(8): 1737-1750 (2018) - [c10]Veronika A. Zimmer, Alberto Gómez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta Pereira, Milou P. M. van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding. DATRA/PIPPI@MICCAI 2018: 107-116 - [c9]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. M. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers. DATRA/PIPPI@MICCAI 2018: 117-127 - [c8]Robert Wright, Bishesh Khanal, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Joseph V. Hajnal, Daniel Rueckert, Julia A. Schnabel:
LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images. DATRA/PIPPI@MICCAI 2018: 149-159 - [c7]Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Weakly Supervised Localisation for Fetal Ultrasound Images. DLMIA/ML-CDS@MICCAI 2018: 192-200 - [c6]Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. MICCAI (1) 2018: 392-400 - [c5]Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network. MICCAI (1) 2018: 563-571 - [c4]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. MICCAI (1) 2018: 756-764 - [i7]Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. CoRR abs/1805.01026 (2018) - [i6]Alberto Gómez, Veronika A. Zimmer, Bishesh Khanal, Nicolas Toussaint, Julia A. Schnabel:
Oversegmenting Graphs. CoRR abs/1806.00411 (2018) - [i5]Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network. CoRR abs/1806.06987 (2018) - [i4]Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert:
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network. CoRR abs/1806.07486 (2018) - [i3]Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers. CoRR abs/1807.10583 (2018) - [i2]Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel:
Weakly Supervised Localisation for Fetal Ultrasound Images. CoRR abs/1808.00793 (2018) - 2017
- [i1]Benjamin Hou, Bishesh Khanal, Amir Alansary, Steven G. McDonagh, Alice Davidson, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz:
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images. CoRR abs/1709.06341 (2017) - 2016
- [j1]Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, 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) - 2014
- [c3]Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec:
A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. MICCAI (2) 2014: 41-48 - 2012
- [c2]Bishesh Khanal, Sharib Ali, Desire Sidibé:
Robust Road Signs Segmentation in Color Images. VISAPP (1) 2012: 307-310 - 2011
- [c1]Bishesh Khanal, Desire Sidibé:
Efficient Skin Detection under Severe Illumination Changes and Shadows. ICIRA (2) 2011: 609-618
Coauthor Index
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