Semi-automated tracking of muscle satellite cells in brightfield microscopy video. - Ananda S. Chowdhury; Angshuman Paul; Filiz Bunyak; D. D. W. Cornelison; Kannappan Palaniappan (ICIP, 2012)

Enhanced Random Forest for Mitosis Detection. - Angshuman Paul; Dipti Prasad Mukherjee (ICVGIP, 2014)

Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images. - Angshuman Paul; Anisha Dey; Dipti Prasad Mukherjee; Jayanthi Sivaswamy; Vijaya Tourani (MICCAI (2), 2015)

Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images. - Angshuman Paul; Dipti Prasad Mukherjee (IEEE Trans. Image Process., 2015)

Gland segmentation from histology images using informative morphological scale space. - Angshuman Paul; Dipti Prasad Mukherjee (ICIP, 2016)

Reinforced random forest. - Angshuman Paul; Dipti Prasad Mukherjee (ICVGIP, 2016)

Discriminative Autoencoder. - Angshuman Paul; Angshul Majumdar; Dipti Prasad Mukherjee (ICIP, 2018)

Calculation of phase fraction in steel microstructure images using random forest classifier. - Angshuman Paul; Abhinandan Gangopadhyay; Appa Rao Chintha; Dipti Prasad Mukherjee; Prasun Das; Saurabh Kundu (IET Image Process., 2018)

Improved Random Forest for Classification. - Angshuman Paul; Dipti Prasad Mukherjee; Prasun Das; Abhinandan Gangopadhyay; Appa Rao Chintha; Saurabh Kundu (IEEE Trans. Image Process., 2018)

Shape Based Speckle Removal for Ultrasound Image Segmentation. - Angshuman Paul; Dipti Prasad Mukherjee; Scott T. Acton (ICIP, 2019)

Reinforced quasi-random forest. - Angshuman Paul; Dipti Prasad Mukherjee (Pattern Recognit., 2019)

Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images. - Angshuman Paul; Dipti Prasad Mukherjee; Scott T. Acton (IEEE J. Biomed. Health Informatics, 2019)

Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble. - Angshuman Paul; Yuxing Tang; Ronald M. Summers (Computer-Aided Diagnosis, 2020)

Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. - Sai Aditya Sriram; Angshuman Paul; Yingying Zhu 003; Veit Sandfort; Perry J. Pickhardt; Ronald M. Summers (Computer-Aided Diagnosis, 2020)

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. - Angshuman Paul; Thomas C. Shen; Niranjan Balachandar; Yuxing Tang; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Deterministic dropout for deep neural networks using composite random forest. - Bikash Santra; Angshuman Paul; Dipti Prasad Mukherjee (Pattern Recognit. Lett., 2020)

Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. - Angshuman Paul; Thomas C. Shen; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (ISBI, 2021)

Discriminative ensemble learning for few-shot chest x-ray diagnosis. - Angshuman Paul; Yuxing Tang; Thomas C. Shen; Ronald M. Summers (Medical Image Anal., 2021)

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. - Angshuman Paul; Thomas C. Shen; Sungwon Lee 003; Niranjan Balachandar; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (IEEE Trans. Medical Imaging, 2021)

Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training. - Varun Naga; Tejas Sudharshan Mathai; Angshuman Paul; Ronald M. Summers (MILLanD@MICCAI, 2022)

Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images. - Aratrik Chattopadhyay; Angshuman Paul; Dipti Prasad Mukherjee (Pattern Recognit. Lett., 2022)

Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet. - M. K. Laksath Adityan; Himanchal Sharma; Angshuman Paul (ICIP, 2023)

Federated learning using multi-institutional data for generalizable chest x-ray diagnosis. - Dabbara Keshava Chowdari; Nunna Radhasyam; Anabik Pal; Angshuman Paul (Computer-Aided Diagnosis, 2023)

3D universal lesion detection and tagging in CT with self-training. - Jared Frazier; Tejas Sudharshan Mathai; Jianfei Liu; Angshuman Paul; Ronald M. Summers (Computer-Aided Diagnosis, 2023)

Correcting class imbalances with self-training for improved universal lesion detection and tagging. - Alexander Shieh; Tejas Sudharshan Mathai; Jianfei Liu; Angshuman Paul; Ronald M. Summers (Computer-Aided Diagnosis, 2023)

Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images. - Krishna Thoriya; Preeti Mutreja; Sumit Kalra; Angshuman Paul (MILLanD@MICCAI, 2023)

Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering. - Vamshi Vardhan Yadagiri; Sekhar Reddy; Angshuman Paul (DGM4MICCAI, 2023)

Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces. - Kshitiz; Garvit Garg; Angshuman Paul (CoRR, 2023)

ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes. - Saikat Sarkar 002; Spandan Basu; Angshuman Paul; Dipti Prasad Mukherjee (IEEE Trans. Broadcast., 2023)

Attention-Based Few-Shot Diagnosis of Chest X-Rays Using Semantic Signatures. - Devi Prasad Maharathy; Prabhala Sandhya Gayatri; Angshuman Paul (ICIP, 2024)

Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder. - Harshith Reddy Kethireddy; A. Tejaswee; Lucian G. Eftimie; Radu Hristu; George A. Stanciu; Angshuman Paul (ICPR (13), 2024)

PSIVUS: Atherosclerotic Plaque Segmentation in Intravascular Ultrasound Images via Active Learning. - Anuradha Mahato; Paromita Banerjee; Rutvik Narendrabhai Jethava; Bhanu Duggal; Angshuman Paul; Mayank Vatsa; Richa Singh 001 (ICPR (28), 2024)

Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market Dynamics. - Vishvajeet Upadhyay; Angshuman Paul (ICPR (1), 2024)

An Ensemble of Well-Trained Students Can Perform Almost as Good as a Teacher for Chest X-Ray Diagnosis. - Shilajit Banerjee; Angshuman Paul (ISBI, 2024)

Label-Guided Coreset Generation for Computationally Efficient Chest X-Ray Diagnosis. - Jayant Mahawar; Bhargab Chattopadhyay; Angshuman Paul (ISBI, 2024)

Anomaly-focused Single Image Super-resolution with Artifact Removal for Chest X-rays using Distribution-aware Diffusion Model. - Dattatreyo Roy; Angshuman Paul (MIDL, 2024)

Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss. - Jayant Mahawar; Angshuman Paul (Comput. Biol. Medicine, 2024)

FedImp: Federated Learning Using Important Layers of Client Models for the Diagnosis of Breast Cancer Histopathology Images. - Mangaldeep Banerjee; Angshuman Paul (ICASSP, 2025)