Variational Bayes: A report on approaches and applications. - Manikanta Srikar Yellapragada; Konkimalla Chandra Prakash (CoRR, 2019)

Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. - Manikanta Srikar Yellapragada; Yiting Xie; Benedikt Graf; David Richmond; Arun Krishnan; Arkadiusz Sitek (ISBI, 2020)

Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study. - Luyao Shi; Deepta Rajan; Shafiq Abedin; Manikanta Srikar Yellapragada; David Beymer; Ehsan Dehghan (MIDL, 2020)

Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (BMVC, 2023)

CCTV-Gun: Benchmarking Handgun Detection in CCTV Images. - Srikar Yellapragada; Zhenghong Li; Kevin Bhadresh Doshi; Purva Makarand Mhasakar; Heng Fan 001; Jie Wei; Erik Blasch; Haibin Ling (CoRR, 2023)

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations. - Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2023)

Learned Representation-Guided Diffusion Models for Large-Image Generation. - Alexandros Graikos; Srikar Yellapragada; Minh-Quan Le; Saarthak Kapse; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CVPR, 2024)

CCTV-Gun: Benchmarking Handgun Detection in CCTV Images. - Zhenghong Li; Srikar Yellapragada; Kevin Bhadresh Doshi; Purva Makarand Mhasakar; Heng Fan 001; Jie Wei; Erik Blasch; Bin Zhang; Haibin Ling (DDDAS/Infosymbiotics, 2024)

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions. - Minh-Quan Le; Alexandros Graikos; Srikar Yellapragada; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (ECCV (32), 2024)

PathLDM: Text conditioned Latent Diffusion Model for Histopathology. - Srikar Yellapragada; Alexandros Graikos; Prateek Prasanna; Tahsin M. Kurç; Joel H. Saltz; Dimitris Samaras (WACV, 2024)

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning. - Varun Belagali; Srikar Yellapragada; Alexandros Graikos; Saarthak Kapse; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2024)

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Prateek Prasanna; Rajarsi Gupta 001; Joel H. Saltz; Dimitris Samaras (CVPR, 2025)

Leveraging Registers in Vision Transformers for Robust Adaptation. - Srikar Yellapragada; Kowshik Thopalli; Vivek Sivaraman Narayanaswamy; Wesam Sakla; Yang Liu; Yamen Mubarka; Dimitris Samaras; Jayaraman J. Thiagarajan (ICASSP, 2025)

Pathology Image Compression with Pre-trained Autoencoders. - Srikar Yellapragada; Alexandros Graikos; Kostas Triaridis; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Joel H. Saltz; Dimitris Samaras (CoRR, 2025)

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. - Saarthak Kapse; Pushpak Pati; Srikar Yellapragada; Srijan Das; Rajarsi R. Gupta; Joel H. Saltz; Dimitris Samaras; Prateek Prasanna (CoRR, 2025)

PathSegDiff: Pathology Segmentation using Diffusion model representations. - Sachin Kumar Danisetty; Alexandros Graikos; Srikar Yellapragada; Dimitris Samaras (CoRR, 2025)

PixCell: A generative foundation model for digital histopathology images. - Srikar Yellapragada; Alexandros Graikos; Zilinghan Li; Kostas Triaridis; Varun Belagali; Saarthak Kapse; Tarak Nath Nandi; Ravi K. Madduri; Prateek Prasanna; Tahsin M. Kurç; Rajarsi R. Gupta; Joel H. Saltz; et al. (CoRR, 2025)

CDG-MAE: Learning Correspondences from Diffusion Generated Views. - Varun Belagali; Pierre Marza; Srikar Yellapragada; Zilinghan Li; Tarak Nath Nandi; Ravi K. Madduri; Joel H. Saltz; Stergios Christodoulidis; Maria Vakalopoulou; Dimitris Samaras (CoRR, 2025)