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Pratibha Kumari 0001

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affiliation: University of Regensburg, Faculty of Informatics and Data Science, Regensburg, Germany
affiliation: Indian Institute of Technology Ropar, Ropar, India

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Journal Articles

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2025
[j4]
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  - journals/mia/KumariCBHAM25
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Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof:
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects. Medical Image Anal. 106: 103730 (2025)
2024
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Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini:
Multimedia datasets for anomaly detection: a review. Multim. Tools Appl. 83(19): 56785-56835 (2024)
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Pratibha Kumari, Priyankar Choudhary, Vinit Kujur, Pradeep K. Atrey, Mukesh Saini:
Concept drift challenge in multimedia anomaly detection: A case study with facial datasets. Signal Process. Image Commun. 123: 117100 (2024)
2022
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Pratibha Kumari, Mukesh Saini:
An Adaptive Framework for Anomaly Detection in Time-Series Audio-Visual Data. IEEE Access 10: 36188-36199 (2022)

Conference and Workshop Papers

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2025
[c10]
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Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof:
LHU-Net: A Lean Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Segmentation. MICCAI (14) 2025: 326-336
2024
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Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. MICCAI (12) 2024: 34-44
[c8]
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Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024
2022
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  - conf/cvip/Choudhary0GS22
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Priyankar Choudhary, Pratibha Kumari, Neeraj Goel, Mukesh Saini:
Low-Intensity Human Activity Recognition Framework Using Audio Data in an Outdoor Environment. CVIP (2) 2022: 646-658
2021
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Pratibha Kumari, Anmol Kumar, Min-Chun Hu, Mukesh Saini:
Automatic Double Contact Fault Detection in Outdoor Volleyball Videos. CVIP (2) 2021: 122-134
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Pratibha Kumari:
Situational Anomaly Detection in Multimedia Data under Concept Drift. ACM Multimedia 2021: 2969-2973
2020
[c4]
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Pratibha Kumari, Mukesh Saini:
Multivariate Adaptive Gaussian Mixture for Scene Level Anomaly Modeling. BigMM 2020: 54-62
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Pratibha Kumari, Nikhil Nandyala, Allu Krishna Sai Teja, Neeraj Goel, Mukesh Saini:
Dynamic Scheduling of an Autonomous PTZ Camera for Effective Surveillance. MASS 2020: 437-445
2019
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Pratibha Kumari, Prakhar Jain, Swarna Sahay, Tian Gan, Mukesh Saini:
ALPS 1.0: Towards Automated Lecture Profiling System. ICME Workshops 2019: 318-323
2018
[c1]
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Pratibha Kumari, Mandhatya Singh, Mukesh Saini:
Multimodal Drunk Density Estimation for Safety Assessment. AVSS 2018: 1-6

Data and Artifacts

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2022
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Priyankar Choudhary, Pratibha Kumari:
An audio-seismic dataset for human activity recognition. IEEE DataPort, 2022

Informal and Other Publications

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2025
[i10]
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  - journals/corr/abs-2503-19819
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Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof:
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning. CoRR abs/2503.19819 (2025)
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Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis. CoRR abs/2505.08524 (2025)
2024
[i8]
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  - journals/corr/abs-2404-05102
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Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof:
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation. CoRR abs/2404.05102 (2024)
[i7]
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  - journals/corr/abs-2407-00465
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Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik, Mukesh Saini:
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. CoRR abs/2407.00465 (2024)
[i6]
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  - journals/corr/abs-2409-06455
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Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-aware Digital Pathology. CoRR abs/2409.06455 (2024)
[i5]
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  - journals/corr/abs-2411-03670
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Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024)
2023
[i4]
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  - journals/corr/abs-2312-17004
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Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof:
Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. CoRR abs/2312.17004 (2023)
2022
[i3]
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  - journals/corr/abs-2207-13430
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Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini:
Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets. CoRR abs/2207.13430 (2022)
2021
[i2]
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  - journals/corr/abs-2102-10515
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Pratibha Kumari, Mukesh Saini:
Anomaly Detection in Audio with Concept Drift using Adaptive Huffman Coding. CoRR abs/2102.10515 (2021)
[i1]
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  - journals/corr/abs-2112-05410
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Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini:
Multimedia Datasets for Anomaly Detection: A Survey. CoRR abs/2112.05410 (2021)

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