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Bhakti Baheti
Bhakti Baheti
Assistant research professor, Indiana University
Verified email at iu.edu - Homepage
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Cited by
Year
Eff-unet: A novel architecture for semantic segmentation in unstructured environment
B Baheti, S Innani, S Gajre, S Talbar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2202020
Detection of distracted driver using convolutional neural network
B Baheti, S Gajre, S Talbar
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1642018
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
1132021
Semantic scene segmentation in unstructured environment with modified DeepLabV3+
B Baheti, S Innani, S Gajre, S Talbar
Pattern Recognition Letters 138, 223-229, 2020
762020
Towards computationally efficient and realtime distracted driver detection with mobilevgg network
B Baheti, S Talbar, S Gajre
IEEE Transactions on Intelligent Vehicles 5 (4), 565-574, 2020
622020
The image biomarker standardization initiative: Standardized convolutional filters for reproducible radiomics and enhanced clinical insights
P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ...
Radiology 310 (2), e231319, 2024
47*2024
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
422023
The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients
B Baheti, D Waldmannstetter, S Chakrabarty, H Akbari, M Bilello, ...
arXiv preprint arXiv:2112.06979, 2021
352021
The 1st Agriculture-Vision Challenge: Methods and Results
M Tik Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi, ...
arXiv e-prints, arXiv: 2004.09754, 2020
30*2020
Detection of pathological myopia and optic disc segmentation with deep convolutional neural networks
U Baid, B Baheti, P Dutande, S Talbar
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1345-1350, 2019
212019
Semantic scene understanding in unstructured environment with deep convolutional neural network
B Baheti, S Gajre, S Talbar
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 790-795, 2019
202019
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore …
S Bakas, A Crimi, U Baid, S Malec, M Pytlarz, B Baheti, M Zenk, R Dorent
Springer Nature, 2023
142023
An approach to automatic object tracking system by combination of SIFT and RANSAC with mean shift and KLT
B Baheti, U Baid, S Talbar
2016 Conference on Advances in Signal Processing (CASP), 254-259, 2016
142016
A novel approach for automatic image stitching of spinal cord MRI images using SIFT
B Baheti, U Baid, SN Talbar
2015 International Conference on Pervasive Computing (ICPC), 1-5, 2015
92015
Deep learning based novel cascaded approach for skin lesion analysis
S Innani, P Dutande, B Baheti, U Baid, S Talbar
International Conference on Computer Vision and Image Processing, 615-626, 2022
52022
Fuse-pn: A novel architecture for anomaly pattern segmentation in aerial agricultural images
S Innani, P Dutande, B Baheti, S Talbar, U Baid
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
52021
Pose estimation for distracted driver detection using deep convolutional neural networks
S Thakur, B Baheti, S Gajre, S Talbar
Computer Vision Applications: Third Workshop, WCVA 2018, Held in Conjunction …, 2019
32019
Automatic Classification of M-FISH Human Chromosome Images using Fuzzy Classifier and Statistical Classifier
B Baheti, G Ahuja, A Parode
The International Conference on Communication and Signal Processing (ICCASP …, 2017
3*2017
Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance
B Baheti, S Rai, S Innani, G Mehdiratta, SC Guntuku, MLP Nasrallah, ...
arXiv preprint arXiv:2302.00669, 2023
2*2023
Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis
B Baheti, S Pati, B Menze, S Bakas
International MICCAI Brainlesion Workshop, 68-79, 2022
22022
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