Author

Debesh Jha

Northwestern University

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Preprint Sep 2026

One-Step Is Optimal: Unconditional Rectified Flows are Noise2Noise Denoisers, and Multi-Step Integration Provably Hurts---A Benchmark and Task-Based Detectability Study on Low-Dose CT

Iterative and generative denoisers are increasingly used under the assumption that multi-step refinement outperforms a single regression pass. We show the opposite for \emph{label-free} denoising. An \emph{unconditional} rectified flow trained on two noisy observations of the same signal, as in Noise2Noise, has a minim...

Timothy Sereda, Debesh Jha · 0 citations

#artificial intelligence Preprint Sep 2026

Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts

Federated LoRA adaptation improves shared-class AUC on all four cohorts over the unadapted BiomedCLIP backbone over the unadapted BiomedCLIP backbone, showing that the gains come from federated adaptation rather than from the pretrained model's zero-shot ability.

Sanjaya Poudel, Nirajan Kunwor, Manish Dhakal et al. · 0 citations

Review Jul 2026

Transformative Role of Advanced Neural Computation in Clinical Image Diagnostics: A Review of Key Concepts and Applications.

Key deep learning frameworks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs) are examined for their applications in important medical imaging tasks such as image classification, segmentation, reconstruction, and disease prediction.

Jay Kumar Pandey, S. K. Verma, J. Kumar et al. · Seminars in ultrasound, CT,... · 1 citation