Bhakti Baheti

Orcid: 0000-0001-5475-3903

According to our database1, Bhakti Baheti authored at least 17 papers between 2017 and 2023.

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Bibliography

2023
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR, 2023

Generative Adversarial Networks based Skin Lesion Segmentation.
CoRR, 2023

Detecting Histologic Glioblastoma Regions of Prognostic Relevance.
CoRR, 2023

2022
Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging, 2021

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR, 2021

Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network.
IEEE Trans. Intell. Veh., 2020

Semantic scene segmentation in unstructured environment with modified DeepLabV3+.
Pattern Recognit. Lett., 2020


Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks.
Proceedings of the TENCON 2019, 2019

Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network.
Proceedings of the TENCON 2019, 2019

2018
Detection of Distracted Driver Using Convolutional Neural Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017


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