Bhakti Baheti

According to our database, Bhakti Baheti authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow.

Suhang You, Sanyukta Adap, Siddhesh P. Thakur, Bhakti Baheti, Spyridon Bakas

CoRR, 2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.

Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze

CoRR, 2024

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.

Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell

CoRR, 2024

Weakly Supervised IDH-Status Glioma Classification from H&E-Stained Whole Slide Images.

Shubham Innani, Bhakti Baheti, MacLean P. Nasrallah, Spyridon Bakas

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Florian Kofler, Bjoern H. Menze

CoRR, 2023

Generative Adversarial Networks based Skin Lesion Segmentation.

Shubham Innani, Prasad Dutande, Bhakti Baheti, Venu Pokuri, Ujjwal Baid, Sanjay N. Talbar, Sharath Chandra Guntuku

CoRR, 2023

Detecting Histologic Glioblastoma Regions of Prognostic Relevance.

Bhakti Baheti, Shubham Innani, Garv Mehdiratta, MacLean P. Nasrallah, Spyridon Bakas

CoRR, 2023

2022

Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis.

Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar

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.

Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

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.

Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas

CoRR, 2021

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

Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb M. Grenko, Brandon Edwards, Micah J. Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern H. Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas

CoRR, 2021

Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network.

Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images.

Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Ujjwal Baid

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.

Bhakti Baheti, Sanjay N. Talbar, Suhas S. Gajre

IEEE Trans. Intell. Veh., 2020

Semantic scene segmentation in unstructured environment with modified DeepLabV3+.

Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar

Pattern Recognit. Lett., 2020

The 1st Agriculture-Vision Challenge: Methods and Results.

Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.

Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar

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.

Ujjwal Baid, Bhakti Baheti, Prasad Dutande, Sanjay N. Talbar

Proceedings of the TENCON 2019, 2019

Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network.

Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar

Proceedings of the TENCON 2019, 2019

2018

Detection of Distracted Driver Using Convolutional Neural Network.

Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar

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.

Bhakti Baheti, Krishnan Kutty, Suhas S. Gajre, Sanjay N. Talbar

Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017