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Angshuman Paul
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2020 – today
- 2024
- [j11]Jayant Mahawar, Angshuman Paul:
Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss. Comput. Biol. Medicine 180: 108922 (2024) - [c23]Vishvajeet Upadhyay, Angshuman Paul:
Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market Dynamics. ICPR (1) 2024: 49-66 - [c22]Harshith Reddy Kethireddy, A. Tejaswee, Lucian G. Eftimie, Radu Hristu, George A. Stanciu, Angshuman Paul:
Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder. ICPR (13) 2024: 80-93 - [c21]Anuradha Mahato, Paromita Banerjee, Rutvik Narendrabhai Jethava, Bhanu Duggal, Angshuman Paul, Mayank Vatsa, Richa Singh:
PSIVUS: Atherosclerotic Plaque Segmentation in Intravascular Ultrasound Images via Active Learning. ICPR (28) 2024: 154-167 - [c20]Shilajit Banerjee, Angshuman Paul:
An Ensemble of Well-Trained Students Can Perform Almost as Good as a Teacher for Chest X-Ray Diagnosis. ISBI 2024: 1-5 - [c19]Jayant Mahawar, Bhargab Chattopadhyay, Angshuman Paul:
Label-Guided Coreset Generation for Computationally Efficient Chest X-Ray Diagnosis. ISBI 2024: 1-5 - 2023
- [j10]Saikat Sarkar, Spandan Basu, Angshuman Paul, Dipti Prasad Mukherjee:
ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes. IEEE Trans. Broadcast. 69(1): 191-200 (2023) - [c18]M. K. Laksath Adityan, Himanchal Sharma, Angshuman Paul:
Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet. ICIP 2023: 2505-2509 - [c17]Dabbara Keshava Chowdari, Nunna Radhasyam, Anabik Pal, Angshuman Paul:
Federated learning using multi-institutional data for generalizable chest x-ray diagnosis. Computer-Aided Diagnosis 2023 - [c16]Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
3D universal lesion detection and tagging in CT with self-training. Computer-Aided Diagnosis 2023 - [c15]Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
Correcting class imbalances with self-training for improved universal lesion detection and tagging. Computer-Aided Diagnosis 2023 - [c14]Vamshi Vardhan Yadagiri, Sekhar Reddy, Angshuman Paul:
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. DGM4MICCAI 2023: 77-85 - [c13]Krishna Thoriya, Preeti Mutreja, Sumit Kalra, Angshuman Paul:
Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images. MILLanD@MICCAI 2023: 202-210 - [i1]Kshitiz, Garvit Garg, Angshuman Paul:
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces. CoRR abs/2309.00081 (2023) - 2022
- [j9]Aratrik Chattopadhyay, Angshuman Paul, Dipti Prasad Mukherjee:
Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images. Pattern Recognit. Lett. 159: 38-45 (2022) - [c12]Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers:
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. MILLanD@MICCAI 2022: 55-64 - 2021
- [j8]Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers:
Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. 68: 101911 (2021) - [j7]Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40(10): 2642-2655 (2021) - [c11]Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI 2021: 344-348 - 2020
- [j6]Bikash Santra, Angshuman Paul, Dipti Prasad Mukherjee:
Deterministic dropout for deep neural networks using composite random forest. Pattern Recognit. Lett. 131: 205-212 (2020) - [c10]Angshuman Paul, Yuxing Tang, Ronald M. Summers:
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Computer-Aided Diagnosis 2020 - [c9]Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers:
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. Computer-Aided Diagnosis 2020 - [c8]Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 103-111
2010 – 2019
- 2019
- [j5]Angshuman Paul, Dipti Prasad Mukherjee:
Reinforced quasi-random forest. Pattern Recognit. 94: 13-24 (2019) - [j4]Angshuman Paul, Dipti Prasad Mukherjee, Scott T. Acton:
Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images. IEEE J. Biomed. Health Informatics 23(1): 264-272 (2019) - [c7]Angshuman Paul, Dipti Prasad Mukherjee, Scott T. Acton:
Shape Based Speckle Removal for Ultrasound Image Segmentation. ICIP 2019: 3586-3590 - 2018
- [j3]Angshuman Paul, Abhinandan Gangopadhyay, Appa Rao Chintha, Dipti Prasad Mukherjee, Prasun Das, Saurabh Kundu:
Calculation of phase fraction in steel microstructure images using random forest classifier. IET Image Process. 12(8): 1370-1377 (2018) - [j2]Angshuman Paul, Dipti Prasad Mukherjee, Prasun Das, Abhinandan Gangopadhyay, Appa Rao Chintha, Saurabh Kundu:
Improved Random Forest for Classification. IEEE Trans. Image Process. 27(8): 4012-4024 (2018) - [c6]Angshuman Paul, Angshul Majumdar, Dipti Prasad Mukherjee:
Discriminative Autoencoder. ICIP 2018: 3049-3053 - 2016
- [c5]Angshuman Paul, Dipti Prasad Mukherjee:
Gland segmentation from histology images using informative morphological scale space. ICIP 2016: 4121-4125 - [c4]Angshuman Paul, Dipti Prasad Mukherjee:
Reinforced random forest. ICVGIP 2016: 1:1-1:8 - 2015
- [j1]Angshuman Paul, Dipti Prasad Mukherjee:
Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images. IEEE Trans. Image Process. 24(11): 4041-4054 (2015) - [c3]Angshuman Paul, Anisha Dey, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Vijaya Tourani:
Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images. MICCAI (2) 2015: 94-102 - 2014
- [c2]Angshuman Paul, Dipti Prasad Mukherjee:
Enhanced Random Forest for Mitosis Detection. ICVGIP 2014: 85:1-85:8 - 2012
- [c1]Ananda S. Chowdhury, Angshuman Paul, Filiz Bunyak, D. D. W. Cornelison, Kannappan Palaniappan:
Semi-automated tracking of muscle satellite cells in brightfield microscopy video. ICIP 2012: 2825-2828
Coauthor Index
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last updated on 2024-12-13 20:04 CET by the dblp team
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