Bhakti Baheti

29 papers C 2Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI for Mycetoma Diagnosis in Histopathological Images: The MICCAI 2024 Challenge.
CoRR
Hyam Omar Ali, Sahar Alhesseen, Lamis Elkhair, Adrian Galdran, Ming Feng, Zhixiang Xiong, Zengming Lin, Kele Xu, Liang Hu, Benjamin Keel, Oliver Mills, James Battye, Akshay Kumar, Asra Aslam, Prasad Dutande, Ujjwal Baid, Bhakti Baheti, Suhas S. Gajre, Aravind Shrenivas Murali, Eungjoo Lee, Ahmed Fahal, Rachid Jennane
2024 J jnl
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow.
CoRR
Suhang You, Sanyukta Adap, Siddhesh P. Thakur, Bhakti Baheti, Spyridon Bakas
2024 J jnl
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.
CoRR
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
2024 — conf
Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification.
COMPAY@MICCAI
Shubham Innani, MacLean P. Nasrallah, W. Robert Bell, Bhakti Baheti, Spyridon Bakas
2024 J jnl
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR
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
2024 — conf
Weakly Supervised IDH-Status Glioma Classification from H&E-Stained Whole Slide Images.
ISBI
Shubham Innani, Bhakti Baheti, MacLean P. Nasrallah, Spyridon Bakas
2023 — ed.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers
BrainLes@MICCAI
Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent
2023 — ed.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers, Part II
BrainLes@MICCAI (2)
Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent
2023 J jnl
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis.
CoRR
Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar
2023 J jnl
Detecting Histologic Glioblastoma Regions of Prognostic Relevance.
CoRR
Bhakti Baheti, Shubham Innani, Garv Mehdiratta, MacLean P. Nasrallah, Spyridon Bakas
2023 J jnl
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR
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
2023 J jnl
Generative Adversarial Networks based Skin Lesion Segmentation.
CoRR
Shubham Innani, Prasad Dutande, Bhakti Baheti, Venu Pokuri, Ujjwal Baid, Sanjay N. Talbar, Sharath Chandra Guntuku
2023 — conf
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
BrainLes/SWITCH@MICCAI
Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Daniel Rueckert, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Bjoern H. Menze, Florian Kofler
2022 — conf
Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis.
CVIP (1)
Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar
2022 — conf
Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis.
BrainLes@MICCAI
Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas
2021 — conf
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images.
CVPR Workshops
Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Ujjwal Baid
2021 J jnl
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR
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
2021 J jnl
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging
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
2021 — conf
Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network.
PReMI
Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar
2021 J jnl
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR
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
2020 — conf
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment.
CVPR Workshops
Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar
2020 J jnl
Semantic scene segmentation in unstructured environment with modified DeepLabV3+.
Pattern Recognit. Lett.
Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar
2020 — conf
The 1st Agriculture-Vision Challenge: Methods and Results.
CVPR Workshops
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
2020 J jnl
The 1st Agriculture-Vision Challenge: Methods and Results.
CoRR
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
2020 J jnl
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network.
IEEE Trans. Intell. Veh.
Bhakti Baheti, Sanjay N. Talbar, Suhas S. Gajre
2019 C conf
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks.
TENCON
Ujjwal Baid, Bhakti Baheti, Prasad Dutande, Sanjay N. Talbar
2019 C conf
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network.
TENCON
Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar
2018 — conf
Detection of Distracted Driver Using Convolutional Neural Network.
CVPR Workshops
Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar
2017 — conf
A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image.
CVIP (2)
Bhakti Baheti, Krishnan Kutty, Suhas S. Gajre, Sanjay N. Talbar