Angshuman Paul

45 papers B 6Misc 1Journal 19Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feature-driven layer specialization for label heterogeneous federated learning. Neurocomputing Obed Jamir, Angshuman Paul
2026	J	`jnl`	Knowledge Distillation for an Ensemble of Students From a Pyramid of Teachers With Diverse Perspective. IEEE Trans. Artif. Intell. Shilajit Banerjee, Angshuman Paul
2025	J	`jnl`	3D Universal Lesion Detection and Tagging in CT with Self-Training. CoRR Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2025	J	`jnl`	Class-incremental learning using push-pull autoencoder for chest X-ray diagnosis. Comput. Biol. Medicine Jayant Mahawar, Angshuman Paul
2025	J	`jnl`	Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging. CoRR Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2025	Misc	`conf`	FedImp: Federated Learning Using Important Layers of Client Models for the Diagnosis of Breast Cancer Histopathology Images. ICASSP Mangaldeep Banerjee, Angshuman Paul
2025	J	`jnl`	Few-shot diagnosis of chest x-ray images using auxiliary information guided semi-deterministic infinite mixture prototypes. Comput. Biol. Medicine Prabhala Sandhya Gayatri, Devi Prasad Maharathy, Angshuman Paul
2025	J	`jnl`	LearnDiff: MRI image super-resolution using a diffusion model with learnable noise. Comput. Medical Imaging Graph. Sagnik Goswami, Akriti Gupta, Angshuman Paul
2024	—	`conf`	Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market Dynamics. ICPR (1) Vishvajeet Upadhyay, Angshuman Paul
2024	—	`conf`	An Ensemble of Well-Trained Students Can Perform Almost as Good as a Teacher for Chest X-Ray Diagnosis. ISBI Shilajit Banerjee, Angshuman Paul
2024	—	`conf`	Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model. MIDL Dattatreyo Roy, Angshuman Paul
2024	B	`conf`	Attention-Based Few-Shot Diagnosis of Chest X-Rays Using Semantic Signatures. ICIP Devi Prasad Maharathy, Prabhala Sandhya Gayatri, Angshuman Paul
2024	—	`conf`	Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder. ICPR (13) Harshith Reddy Kethireddy, A. Tejaswee, Lucian G. Eftimie, Radu Hristu, George A. Stanciu, Angshuman Paul
2024	J	`jnl`	Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss. Comput. Biol. Medicine Jayant Mahawar, Angshuman Paul
2024	—	`conf`	Label-Guided Coreset Generation for Computationally Efficient Chest X-Ray Diagnosis. ISBI Jayant Mahawar, Bhargab Chattopadhyay, Angshuman Paul
2024	—	`conf`	PSIVUS: Atherosclerotic Plaque Segmentation in Intravascular Ultrasound Images via Active Learning. ICPR (28) Anuradha Mahato, Paromita Banerjee, Rutvik Narendrabhai Jethava, Bhanu Duggal, Angshuman Paul, Mayank Vatsa, Richa Singh
2023	—	`conf`	3D universal lesion detection and tagging in CT with self-training. Computer-Aided Diagnosis Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2023	—	`conf`	Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. DGM4MICCAI Vamshi Vardhan Yadagiri, Sekhar Reddy, Angshuman Paul
2023	—	`conf`	Correcting class imbalances with self-training for improved universal lesion detection and tagging. Computer-Aided Diagnosis Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers
2023	—	`conf`	Federated learning using multi-institutional data for generalizable chest x-ray diagnosis. Computer-Aided Diagnosis Dabbara Keshava Chowdari, Nunna Radhasyam, Anabik Pal, Angshuman Paul
2023	J	`jnl`	Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces. CoRR Kshitiz, Garvit Garg, Angshuman Paul
2023	—	`conf`	Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images. MILLanD@MICCAI Krishna Thoriya, Preeti Mutreja, Sumit Kalra, Angshuman Paul
2023	B	`conf`	Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet. ICIP M. K. Laksath Adityan, Himanchal Sharma, Angshuman Paul
2023	J	`jnl`	ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes. IEEE Trans. Broadcast. Saikat Sarkar, Spandan Basu, Angshuman Paul, Dipti Prasad Mukherjee
2022	J	`jnl`	Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images. Pattern Recognit. Lett. Aratrik Chattopadhyay, Angshuman Paul, Dipti Prasad Mukherjee
2022	—	`conf`	Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. MILLanD@MICCAI Varun Naga, Tejas Sudharshan Mathai, Angshuman Paul, Ronald M. Summers
2021	J	`jnl`	Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Anal. Angshuman Paul, Yuxing Tang, Thomas C. Shen, Ronald M. Summers
2021	J	`jnl`	Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2021	—	`conf`	Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2020	—	`conf`	COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2020	J	`jnl`	Deterministic dropout for deep neural networks using composite random forest. Pattern Recognit. Lett. Bikash Santra, Angshuman Paul, Dipti Prasad Mukherjee
2020	—	`conf`	Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. Computer-Aided Diagnosis Angshuman Paul, Yuxing Tang, Ronald M. Summers
2020	—	`conf`	Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. Computer-Aided Diagnosis Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
2019	J	`jnl`	Reinforced quasi-random forest. Pattern Recognit. Angshuman Paul, Dipti Prasad Mukherjee
2019	B	`conf`	Shape Based Speckle Removal for Ultrasound Image Segmentation. ICIP Angshuman Paul, Dipti Prasad Mukherjee, Scott T. Acton
2019	J	`jnl`	Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images. IEEE J. Biomed. Health Informatics Angshuman Paul, Dipti Prasad Mukherjee, Scott T. Acton
2018	J	`jnl`	Calculation of phase fraction in steel microstructure images using random forest classifier. IET Image Process. Angshuman Paul, Abhinandan Gangopadhyay, Appa Rao Chintha, Dipti Prasad Mukherjee, Prasun Das, Saurabh Kundu
2018	B	`conf`	Discriminative Autoencoder. ICIP Angshuman Paul, Angshul Majumdar, Dipti Prasad Mukherjee
2018	J	`jnl`	Improved Random Forest for Classification. IEEE Trans. Image Process. Angshuman Paul, Dipti Prasad Mukherjee, Prasun Das, Abhinandan Gangopadhyay, Appa Rao Chintha, Saurabh Kundu
2016	B	`conf`	Gland segmentation from histology images using informative morphological scale space. ICIP Angshuman Paul, Dipti Prasad Mukherjee
2016	—	`conf`	Reinforced random forest. ICVGIP Angshuman Paul, Dipti Prasad Mukherjee
2015	J	`jnl`	Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images. IEEE Trans. Image Process. Angshuman Paul, Dipti Prasad Mukherjee
2015	—	`conf`	Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images. MICCAI (2) Angshuman Paul, Anisha Dey, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Vijaya Tourani
2014	—	`conf`	Enhanced Random Forest for Mitosis Detection. ICVGIP Angshuman Paul, Dipti Prasad Mukherjee
2012	B	`conf`	Semi-automated tracking of muscle satellite cells in brightfield microscopy video. ICIP Ananda S. Chowdhury, Angshuman Paul, Filiz Bunyak, D. D. W. Cornelison, Kannappan Palaniappan