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Khanh Dao Duc
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2020 – today
- 2026
[j9]Wanxin Li, Saad Ahmed, Yongjin P. Park, Khanh Dao Duc
:
Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities. J. Am. Medical Informatics Assoc. 33(1): 15-25 (2026)- 2025
[j8]Chenwei Zhang
, Anne Condon
, Khanh Dao Duc
:
A comprehensive survey and benchmark of deep learning-based methods for atomic model building from cryo-electron microscopy density maps. Briefings Bioinform. 26(4) (2025)
[i9]Chenwei Zhang, Anne Condon, Khanh Dao Duc:
CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets. CoRR abs/2503.20291 (2025)
[i8]Wanxin Li, Yongjin P. Park, Khanh Dao Duc:
Wasserstein projection distance for fairness testing of regression models. CoRR abs/2510.04114 (2025)
[i7]Aryan Tajmir Riahi, Khanh Dao Duc:
The Joint Gromov Wasserstein Objective for Multiple Object Matching. CoRR abs/2511.16868 (2025)- 2024
[i6]Chenwei Zhang, Anne Condon, Khanh Dao Duc:
Synthetic High-resolution Cryo-EM Density Maps with Generative Adversarial Networks. CoRR abs/2407.17674 (2024)- 2023
[j7]Wanxin Li, Jules Mirone, Ashok Prasad, Nina Miolane, Carine Legrand
, Khanh Dao Duc:
Orthogonal outlier detection and dimension estimation for improved MDS embedding of biological datasets. Frontiers Bioinform. 3 (2023)
[j6]Artem Kushner
, Anton S. Petrov
, Khanh Dao Duc
:
RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures. Nucleic Acids Res. 51(D1): 509-516 (2023)
[j5]Aryan Tajmir Riahi
, Geoffrey Woollard
, Frédéric Poitevin
, Anne Condon
, Khanh Dao Duc
:
AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3842-3850 (2023)
[c3]Francisco Acosta, Sophia Sanborn
, Khanh Dao Duc, Manu S. Madhav, Nina Miolane:
Quantifying Extrinsic Curvature in Neural Manifolds. CVPR Workshops 2023: 610-619
[c2]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. MLCB 2023: 148-162
[i5]Chenwei Zhang, Khanh Dao Duc, Anne Condon:
Visualizing DNA reaction trajectories with deep graph embedding approaches. CoRR abs/2311.03409 (2023)
[i4]Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon:
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. CoRR abs/2311.03411 (2023)- 2022
[i3]Nicolas Legendre, Khanh Dao Duc, Nina Miolane:
Defining an action of SO(d)-rotations on images generated by projections of d-dimensional objects: Applications to pose inference with Geometric VAEs. CoRR abs/2207.11582 (2022)
[i2]Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav:
Testing geometric representation hypotheses from simulated place cell recordings. CoRR abs/2211.09096 (2022)- 2021
[j4]Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc
:
MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX. Bioinform. 36(22-23): 5528-5529 (2021)
[c1]Wanxin Li, Ashok Prasad
, Nina Miolane
, Khanh Dao Duc
:
Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity. GSI (2) 2021: 583-592
[i1]Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant
, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long:
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR abs/2108.09810 (2021)
2010 – 2019
- 2016
[j3]Khanh Dao Duc
, Zeev Schuss, David Holcman
:
Oscillatory Survival Probability: Analytical and Numerical Study of a Non-Poissonian Exit Time. Multiscale Model. Simul. 14(2): 772-798 (2016)- 2015
[j2]Khanh Dao Duc
, Pierre Parutto
, Xiaowei Chen, Jérôme Epsztein, Arthur Konnerth, David Holcman
:
Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states. Frontiers Comput. Neurosci. 9: 96 (2015)
[j1]Jérémie Sibille
, Khanh Dao Duc
, David Holcman
, Nathalie Rouach
:
The Neuroglial Potassium Cycle during Neurotransmission: Role of Kir4.1 Channels. PLoS Comput. Biol. 11(3) (2015)
Coauthor Index

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last updated on 2026-02-03 23:35 CET by the dblp team
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