Conferences

Conference Proceeding Publication

2022


Bone shape analysis for cerebral palsy understanding using MRI

Authors: Yue Cheng , Rodolphe Bailly, Bhushan Borotikar, Benjamin Fouquet, Sylvain Brochard, Douraied Ben Salem, Francois Rousseau

Conference: Joint CAP & RFIAP 2022 Conference

https://caprfiap2022.sciencesconf.org/resource/page/id/28


Cross-Modality Image Adaptation Based on Volumetric Intensity Gaussian Process Models (VIGPM)

Authors: Nbonsou Tegang, Herve Nicolas, Borotikar, Bhushan, Fouefack, Jean-Rassaire, Burdin, Valerie, Mutsvangwa, Tinashe Ernest Muzvidzwa

Conference: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

https://embs.papercept.net/conferences/conferences/EMBC22/program/EMBC22_ContentListWeb_3.html#weep-06

2021


Multi-task, multi-domain deep segmentation with shared representations and contrastive regularization for sparse pediatric datasets

Authors: Arnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar

Conference: International Conference on Medical Image Computing and Computer-Assisted Intervention I MICCAI 2021: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 I Publication date: 2021/9/27

https://doi.org/10.1007/978-3-030-87193-2_23


Multi-structure deep segmentation with shape priors and latent adversarial regularization

Authors: Arnaud Boutillon, Bhushan Borotikar, Christelle Pons, Valérie Burdin, P-H Conze

Publication date: 2021/4/13

Conference: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Pages: 999-1002, Publisher: IEEE

doi: 10.1109/ISBI48211.2021.9434104.

2020


A gaussian process model based generative framework for data augmentation of multi-modal 3d image volumes

Authors: Nicolas H Nbonsou Tegang, Jean-Rassaire Fouefack, Bhushan Borotikar, Valérie Burdin, Tania S Douglas, Tinashe EM Mutsvangwa

Conference: International Workshop on Simulation and Synthesis in Medical Imaging

SASHIMI 2020: Simulation and Synthesis in Medical Imaging pp 90-100, Publisher: Springer, Cham

https://doi.org/10.1007/978-3-030-59520-3_10


On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics

T Chougule, S Shinde, V Santosh, J Saini, M Ingalhalikar

Radiomics and Radiogenomics Workshop at MICCAI 2019 11991, 53-60

https://doi.org/10.1007/978-3-030-40124-5


Open-Set Recognition for Skin Lesions Using Dermoscopic Images

P Budhwant, S Shinde, M Ingalhalikar

International Workshop on Machine Learning in Medical Imaging, 614-623

https://doi.org/10.1007/978-3-030-59861-7_62


Local Binary and Ternary Patterns Based Quantitative Texture Analysis for Assessment of IDH Genotype in Gliomas on Multi-modal MRI

S Gore, T Chougule, J Saini, M Ingalhalikar, J Jagtap

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro

https://doi.org/10.1007/978-3-030-66843-3_23


2019


Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets

A Ahmad, S Sarkar, A Shah, S Gore, V Santosh, J Saini, M Ingalhalikar

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …

https://ieeexplore.ieee.org/abstract/document/8759313


Predicting the Molecular Subtypes in Gliomas Using T2-Weighted MRI

J Jagtap, J Saini, V Santosh, M Ingalhalikar

Proceedings of the 2nd International Conference on Data Engineering and …

https://link.springer.com/chapter/10.1007/978-981-13-1610-4_7#citeas