activity
20162026
most citedIdentifying Diabetic Patients with High Risk of Readmission

13 citations · 15 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2026

Fast Volume Alignment by Frequency-Marched Newton Method

Fabian Kruse, Valentin Debarnot, Vinith Kishore +1

We introduce Matcha, a fast method for rotational pose estimation in three-dimensional alignment, and combine it with FFT-based translation updates for full pose estimation. Classi…

eess.SP2025

Beyond Exhaustive Sampling: Efficient Rotational Matching via Ball Harmonics

Fabian Kruse, Vinith Kishore, Valentin Debarnot +1

Cryo-ET allows to generate tomograms of biological samples in situ, capturing complex structures in their native context. Despite low signal-to-noise ratio in reconstructed volumes…

eess.SP2025

Localized Supervised Learning for Cryo-ET Reconstruction

Vinith Kishore, Valentin Debarnot, AmirEhsan Khorashadizadeh +1

Cryo-electron tomography (Cryo-ET) is a powerful tool in structural biology for 3D visualization of cells and biological systems at resolutions sufficient to identify individual pr…

eess.IV2025★ 1 cited

CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning

Vinith Kishore, Valentin Debarnot, AmirEhsan Khorashadizadeh +3

Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular structures. Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to-nois…

eess.IV2024

Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation

Valentin Debarnot, Vinith Kishore, Ricardo D. Righetto +1

We introduce ICE-TIDE, a method for cryogenic electron tomography (cryo-ET) that simultaneously aligns observations and reconstructs a high-resolution volume. The alignment of tilt…

eess.SP2023

Implicit Reconstructions from Deformed Projections for CryoET

Vinith Kishore, Valentin Debarnot, Ivan Dokmanić

Cryo-electron tomography (cryoET) is a technique that captures images of biological samples at different tilts, preserving their native state as much as possible. Along with the pa…

eess.SP2022★ 1 cited

Manifold Rewiring for Unlabeled Imaging

Valentin Debarnot, Vinith Kishore, Cheng Shi +1

Geometric data analysis relies on graphs that are either given as input or inferred from data. These graphs are often treated as "correct" when solving downstream tasks such as gra…

cs.AI2016★ 13 cited

Identifying Diabetic Patients with High Risk of Readmission

Malladihalli S Bhuvan, Ankit Kumar, Adil Zafar +1

Hospital readmissions are expensive and reflect the inadequacies in healthcare system. In the United States alone, treatment of readmitted diabetic patients exceeds 250 million dol…