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ORCIDBhakti Baheti
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2020 – today
- 2024
[c11]Shubham Innani, Bhakti Baheti, MacLean P. Nasrallah, Spyridon Bakas:
Weakly Supervised IDH-Status Glioma Classification from H&E-Stained Whole Slide Images. ISBI 2024: 1-5- [i10]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:
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. CoRR abs/2405.10871 (2024) - [i9]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:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i8]Suhang You, Sanyukta Adap, Siddhesh P. Thakur, Bhakti Baheti, Spyridon Bakas:
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow. CoRR abs/2409.02284 (2024) - 2023
- [e2]Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent:
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. Lecture Notes in Computer Science 13769, Springer 2023, ISBN 978-3-031-33841-0 [contents] - [e1]Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent:
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. Lecture Notes in Computer Science 14092, Springer 2023, ISBN 978-3-031-44152-3 [contents] - [i7]Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar:
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis. CoRR abs/2301.06226 (2023) - [i6]Bhakti Baheti, Shubham Innani, Garv Mehdiratta, MacLean P. Nasrallah, Spyridon Bakas:
Detecting Histologic Glioblastoma Regions of Prognostic Relevance. CoRR abs/2302.00669 (2023) - [i5]Shubham Innani, Prasad Dutande, Bhakti Baheti, Venu Pokuri, Ujjwal Baid, Sanjay N. Talbar, Sharath Chandra Guntuku:
Generative Adversarial Networks based Skin Lesion Segmentation. CoRR abs/2305.18164 (2023) - [i4]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:
Framing image registration as a landmark detection problem for better representation of clinical relevance. CoRR abs/2308.01318 (2023) - 2022
- [c10]Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas:
Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis. BrainLes@MICCAI 2022: 68-79 - [c9]Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay N. Talbar:
Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis. CVIP (1) 2022: 615-626 - 2021
- [j3]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:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c8]Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Ujjwal Baid:
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images. CVPR Workshops 2021: 2960-2968 - [c7]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network. PReMI 2021: 181-189 - [i3]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:
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. CoRR abs/2103.01006 (2021) - [i2]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:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR abs/2112.06979 (2021) - 2020
- [j2]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Semantic scene segmentation in unstructured environment with modified DeepLabV3+. Pattern Recognit. Lett. 138: 223-229 (2020) - [j1]Bhakti Baheti, Sanjay N. Talbar, Suhas S. Gajre:
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network. IEEE Trans. Intell. Veh. 5(4): 565-574 (2020) - [c6]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:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c5]Bhakti Baheti, Shubham Innani, Suhas S. Gajre, Sanjay N. Talbar:
Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment. CVPR Workshops 2020: 1473-1481 - [i1]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:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020)
2010 – 2019
- 2019
- [c4]Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar:
Semantic Scene Understanding in Unstructured Environment with Deep Convolutional Neural Network. TENCON 2019: 790-795 - [c3]Ujjwal Baid, Bhakti Baheti, Prasad Dutande, Sanjay N. Talbar:
Detection of Pathological Myopia and Optic Disc Segmentation with Deep Convolutional Neural Networks. TENCON 2019: 1345-1350 - 2018
- [c2]Bhakti Baheti, Suhas S. Gajre, Sanjay N. Talbar:
Detection of Distracted Driver Using Convolutional Neural Network. CVPR Workshops 2018: 1032-1038 - 2017
- [c1]Bhakti Baheti, Krishnan Kutty, Suhas S. Gajre, Sanjay N. Talbar:
A Local Self-Similarity-Based Vehicle Detection Approach Using Single Query Image. CVIP (2) 2017: 255-264
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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