Ewa Szczurek - RankMe

35 papers A 1B 2Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ImmuVis: Hyperconvolutional Foundation Model for Imaging Mass Cytometry. CoRR Marcin Mozejko, Dawid Uchal, Krzysztof Gogolewski, Piotr Kupidura, Szymon Lukasik, Jakub Giezgala, Tomasz Nocon, Kacper Pietrzyk, Robert Pieniuta, Mateusz Sulimowicz, Michal Orzylowski, Tomasz Silkowski, Karol Zagródka, Eike Staub, Ewa Szczurek
2026	J	`jnl`	Sample Efficient Generative Molecular Optimization with Joint Self-Improvement. CoRR Serra Korkmaz, Adam Izdebski, Jonathan Pirnay, Rasmus Møller-Larsen, Michal Kmicikiewicz, Pankhil Gawade, Dominik G. Grimm, Ewa Szczurek
2026	J	`jnl`	Synergistic Benefits of Joint Molecule Generation and Property Prediction. Trans. Mach. Learn. Res. Adam Izdebski, Jan Olszewski, Pankhil Gawade, Krzysztof Koras, Serra Korkmaz, Valentin Rauscher, Jakub M. Tomczak, Ewa Szczurek
2025	A	`conf`	Factor Analysis with Correlated Topic Model for Multi-Modal Data. AISTATS Malgorzata Lazecka, Ewa Szczurek
2025	J	`jnl`	Factor Analysis with Correlated Topic Model for Multi-Modal Data. CoRR Malgorzata Lazecka, Ewa Szczurek
2025	J	`jnl`	Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design. CoRR Pankhil Gawade, Adam Izdebski, Myriam Lizotte, Kevin R. Moon, Jake S. Rhodes, Guy Wolf, Ewa Szczurek
2025	J	`jnl`	Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation. CoRR Szymon Plotka, Maciej Chrabaszcz, Gizem Mert, Ewa Szczurek, Arkadiusz Sitek
2025	J	`jnl`	Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings. CoRR Christian Grashei, Christian Brechenmacher, Rao Muhammad Umer, Jingsong Liu, Carsten Marr, Ewa Szczurek, Peter J. Schüffler
2025	J	`jnl`	PepCompass: Navigating peptide embedding spaces using Riemannian Geometry. CoRR Marcin Mozejko, Adam Bielecki, Jurand Pradzynski, Marcin Traskowski, Antoni Janowski, Hyun-Su Lee, Marcelo Der Torossian Torres, Michal Kmicikiewicz, Paulina Szymczak, Karol Jurasz, Michal Kucharczyk, Cesar de la Fuente-Nunez, Ewa Szczurek
2025	J	`jnl`	ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods. CoRR Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
2025	J	`jnl`	Targeted AMP generation through controlled diffusion with efficient embeddings. CoRR Diogo Soares, Leon Hetzel, Paulina Szymczak, Fabian J. Theis, Stephan Günnemann, Ewa Szczurek
2025	J	`jnl`	Unified Molecule Generation and Property Prediction. CoRR Adam Izdebski, Jan Olszewski, Pankhil Gawade, Krzysztof Koras, Serra Korkmaz, Valentin Rauscher, Jakub M. Tomczak, Ewa Szczurek
2025	J	`jnl`	seqme: a Python library for evaluating biological sequence design. CoRR Rasmus Møller-Larsen, Adam Izdebski, Jan Olszewski, Pankhil Gawade, Michal Kmicikiewicz, Wojciech Zarzecki, Ewa Szczurek
2023	J	`jnl`	Artificial intelligence-driven antimicrobial peptide discovery. CoRR Paulina Szymczak, Ewa Szczurek
2023	J	`jnl`	De Novo Drug Design with Joint Transformers. CoRR Adam Izdebski, Ewelina Weglarz-Tomczak, Ewa Szczurek, Jakub M. Tomczak
2022	—	`conf`	A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. MLCB Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek
2022	J	`jnl`	A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. CoRR Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Eike Staub, Ewa Szczurek
2020	J	`jnl`	A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment. PLoS Comput. Biol. Ewa Szczurek, Tyll Krüger, Barbara Klink, Niko Beerenwinkel
2019	J	`jnl`	12 Grand Challenges in Single-Cell Data Science. PeerJ Prepr. David Laehnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Niko Beerenwinkel, Kieran R. Campbell, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn A. Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P. F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel J. T. Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth
2019	J	`jnl`	Correction: Epistasis in genomic and survival data of cancer patients. PLoS Comput. Biol. Dariusz Matlak, Ewa Szczurek
2019	J	`jnl`	Learning signaling networks from combinatorial perturbations by exploiting siRNA off-target effects. Bioinform. Jerzy Tiuryn, Ewa Szczurek
2017	B	`conf`	Epistasis in Genomic and Survival Data of Cancer Patients. RECOMB Dariusz Matlak, Ewa Szczurek
2017	J	`jnl`	Epistasis in genomic and survival data of cancer patients. PLoS Comput. Biol. Dariusz Matlak, Ewa Szczurek
2016	J	`jnl`	Linear effects models of signaling pathways from combinatorial perturbation data. Bioinform. Ewa Szczurek, Niko Beerenwinkel
2016	J	`jnl`	TiMEx: a waiting time model for mutually exclusive cancer alterations. Bioinform. Simona Constantinescu, Ewa Szczurek, Pejman Mohammadi, Jörg Rahnenführer, Niko Beerenwinkel
2014	J	`jnl`	Inferring the paths of somatic evolution in cancer. Bioinform. Navodit Misra, Ewa Szczurek, Martin Vingron
2014	B	`conf`	Modeling Mutual Exclusivity of Cancer Mutations. RECOMB Ewa Szczurek, Niko Beerenwinkel
2014	J	`jnl`	Modeling Mutual Exclusivity of Cancer Mutations. PLoS Comput. Biol. Ewa Szczurek, Niko Beerenwinkel
2011	J	`jnl`	Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data. BMC Bioinform. Ewa Szczurek, Florian Markowetz, Irit Gat-Viks, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron
2011	—	`—`	Modeling signal transduction pathways and their transcriptional response. Ewa Szczurek
2010	J	`jnl`	Introducing Knowledge into Differential Expression Analysis. J. Comput. Biol. Ewa Szczurek, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron
2009	J	`jnl`	Classification of peptide mass fingerprint data by novel no-regret boosting method. Comput. Biol. Medicine Anna Gambin, Ewa Szczurek, Janusz Dutkowski, Magda Bakun, Michal Dadlez
2009	J	`jnl`	On Subset Seeds for Protein Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. Mikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov
2008	—	`conf`	Efficient Seeding Techniques for Protein Similarity Search. BIRD Mikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov
2007	—	`conf`	No-Regret Boosting. ICANNGA (1) Anna Gambin, Ewa Szczurek