Sarah Cechnicka

19 papers A* 2Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dataset Distillation with Probabilistic Latent Features.
CoRR
Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2025 — conf
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
GRAIL/RIME@MICCAI
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025 J jnl
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
CoRR
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025 A* conf
Image Generation Diversity Issues and How to Tame Them.
CVPR
Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2025 J jnl
Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling.
J. Vis. Commun. Image Represent.
Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz
2025 J jnl
Video Dataset Condensation with Diffusion Models.
CoRR
Zhe Li, Hadrien Reynaud, Mischa Dombrowski, Sarah Cechnicka, Franciskus Xaverius Erick, Bernhard Kainz
2024 — conf
Data-Efficient Generation for Dataset Distillation.
ECCV Workshops (19)
Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024 J jnl
Data-Efficient Generation for Dataset Distillation.
CoRR
Zhe Li, Weitong Zhang, Sarah Cechnicka, Bernhard Kainz
2024 J jnl
Image Generation Diversity Issues and How to Tame Them.
CoRR
Mischa Dombrowski, Weitong Zhang, Sarah Cechnicka, Hadrien Reynaud, Bernhard Kainz
2024 — conf
Image-Conditioned Diffusion Models for Medical Anomaly Detection.
UNSURE@MICCAI
Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz
2024 J jnl
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation.
CoRR
Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz
2024 — conf
Physics-Informed Neural Networks Can Accurately Model Cardiac Electrophysiology in 3D Geometries and Fibrillatory Conditions.
CMRxRecon/MBAS/STACOM@MICCAI
Ching-En Chiu, Aditi Roy, Sarah Cechnicka, Ashvin Gupta, Arieh Levy Pinto, Christoforos Galazis, Kim Christensen, Danilo P. Mandic, Marta Varela
2024 A* conf
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics.
NeurIPS
Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024 J jnl
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics.
CoRR
Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024 — conf
URCDM: Ultra-Resolution Image Synthesis in Histopathology.
MICCAI (4)
Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2024 J jnl
URCDM: Ultra-Resolution Image Synthesis in Histopathology.
CoRR
Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2023 — conf
Realistic Data Enrichment for Robust Image Segmentation in Histopathology.
DART@MICCAI
Sarah Cechnicka, James Ball, Hadrien Reynaud, Callum Arthurs, Candice Roufosse, Bernhard Kainz
2023 J jnl
Realistic Data Enrichment for Robust Image Segmentation in Histopathology.
CoRR
Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz
2023 J jnl
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology.
CoRR
Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew P. T. Smith, Candice Roufosse, Bernhard Kainz