Raphael Sznitman

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All published works

Action	Title	Year	Authors
+ PDF Chat	Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation	2024	Fei Wu Pablo Márquez-Neila Hedyeh Rafi-Tarii Raphael Sznitman
+	Galaxy Spectroscopy without Spectra: Galaxy Properties from Photometric Images with Conditional Diffusion Models	2024	Lars Doorenbos Eva Sextl Kevin Heng S. Cavuoti M. Brescia O. Torbaniuk G. Longo Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Non-Linear Outlier Synthesis for Out-of-Distribution Detection	2024	Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Online 3D reconstruction and dense tracking in endoscopic videos	2024	Michel Hayoz Christopher Hahne Thomas Kurmann Max Allan Guido Beldi Daniel Candinas ablo Márquez-Neila Raphael Sznitman
+ PDF Chat	Targeted Visual Prompting for Medical Visual Question Answering	2024	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+ PDF Chat	Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection	2024	Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models	2024	Lars Doorenbos Eva Sextl Kevin Heng S. Cavuoti M. Brescia O. Torbaniuk G. Longo Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Continual Unsupervised Out-of-Distribution Detection	2024	Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Masked Image Modelling for retinal OCT understanding	2024	Theodoros Pissas Pablo Márquez-Neila Sébastian Wolf Martin S. Zinkernagel Raphael Sznitman
+	RF-ULM: Ultrasound Localization Microscopy Learned From Radio-Frequency Wavefronts	2024	Christopher Hahne Georges Chabouh Arthur Chavignon Olivier Couture Raphael Sznitman
+	StofNet: Super-Resolution Time of Flight Network	2024	Christopher Hahne Michel Hayoz Raphael Sznitman
+ PDF Chat	Correlation-aware active learning for surgery video segmentation	2024	Fei Wu Pablo Márquez-Neila M.Y. Zheng Hedyeh Rafii-Tari Raphael Sznitman
+ PDF Chat	Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning	2024	Negin Ghamsarian Doris Putzgruber-Adamitsch Stephanie Sarny Raphael Sznitman Klaus Schoeffmann Yosuf El‐Shabrawi
+ PDF Chat	Stochastic Segmentation with Conditional Categorical Diffusion Models	2023	Lukas Zbinden Lars Doorenbos Theodoros Pissas A Huber Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data	2023	Christopher Hahne Georges Chabouh Olivier Couture Raphael Sznitman
+ PDF Chat	Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns	2023	Javier Gamazo Tejero Martin S. Zinkernagel Sébastian Wolf Raphael Sznitman Pablo Márquez Neila
+ PDF Chat	Logical Implications for Visual Question Answering Consistency	2023	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+ PDF Chat	Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery	2023	Alain Jungo Lars Doorenbos Tommaso Da Col Maarten Beelen Martin S. Zinkernagel Pablo Márquez-Neila Raphael Sznitman
+ PDF Chat	A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading	2023	Tatiana Fountoukidou Raphael Sznitman
+	Stochastic Segmentation with Conditional Categorical Diffusion Models	2023	Lukas Zbinden Lars Doorenbos Theodoros Pissas A Huber Raphael Sznitman Pablo Márquez-Neila
+	Logical Implications for Visual Question Answering Consistency	2023	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+	Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns	2023	Javier Gamazo Tejero Martin S. Zinkernagel Sébastian Wolf Raphael Sznitman Pablo Márquez Neila
+	Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery	2023	Alain Jungo Lars Doorenbos Tommaso Da Col Maarten Beelen Martin S. Zinkernagel Pablo Márquez-Neila Raphael Sznitman
+	Learning How To Robustly Estimate Camera Pose in Endoscopic Videos	2023	Michel Hayoz Christopher Hahne Mathias Gallardo Daniel Candinas Thomas Kurmann Maximilian Allan Raphael Sznitman
+	Geometric Ultrasound Localization Microscopy	2023	Christopher Hahne Raphael Sznitman
+	Localized Questions in Medical Visual Question Answering	2023	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+	Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training	2023	Negin Ghamsarian Javier Gamazo Tejero Pablo Márquez Neila Sébastian Wolf Martin S. Zinkernagel Klaus Schoeffmann Raphael Sznitman
+	StofNet: Super-resolution Time of Flight Network	2023	Christopher Hahne Michel Hayoz Raphael Sznitman
+	Hyperbolic Random Forests	2023	Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes
+	RF-ULM: Deep Learning for Radio-Frequency Ultrasound Localization Microscopy	2023	Christopher Hahne Georges Chabouh Arthur Chavignon Olivier Couture Raphael Sznitman
+	Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data	2023	Christopher Hahne Georges Chabouh Olivier Couture Raphael Sznitman
+	Correlation-aware active learning for surgery video segmentation	2023	Fei Wu Pablo Márquez-Neila M.Y. Zheng Hedyeh Rafii-Tari Raphael Sznitman
+	Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning	2023	Negin Ghamsarian Doris Putzgruber-Adamitsch Stephanie Sarny Raphael Sznitman Klaus Schoeffmann Yosuf El‐Shabrawi
+	DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception	2023	Negin Ghamsarian Sébastian Wolf Martin S. Zinkernagel Klaus Schoeffmann Raphael Sznitman
+	Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection	2023	Negin Ghamsarian Yosuf El‐Shabrawi Sahar Nasirihaghighi Doris Putzgruber-Adamitsch Martin S. Zinkernagel Sébastian Wolf Klaus Schoeffmann Raphael Sznitman
+ PDF Chat	ulisse: A tool for one-shot sky exploration and its application for detection of active galactic nuclei	2022	Lars Doorenbos O. Torbaniuk S. Cavuoti M. Paolillo G. Longo M. Brescia Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	Data Invariants to Understand Unsupervised Out-of-Distribution Detection	2022	Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila
+	Consistency-preserving Visual Question Answering in Medical Imaging	2022	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+	DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos	2022	Negin Ghamsarian Mario Taschwer Raphael Sznitman Klaus Schoeffmann
+	ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection	2022	Lars Doorenbos O. Torbaniuk S. Cavuoti M. Paolillo G. Longo M. Brescia Raphael Sznitman Pablo Márquez-Neila
+ PDF Chat	DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos	2022	Negin Ghamsarian Mario Taschwer Raphael Sznitman Klaus Schoeffmann
+ PDF Chat	Consistency-Preserving Visual Question Answering in Medical Imaging	2022	Sergio Tascon-Morales Pablo Márquez-Neila Raphael Sznitman
+	Generating astronomical spectra from photometry with conditional diffusion models	2022	Lars Doorenbos S. Cavuoti G. Longo M. Brescia Raphael Sznitman Pablo Márquez-Neila
+	Surgical data science – from concepts toward clinical translation	2021	Lena Maier‐Hein Matthias Eisenmann Duygu Sarıkaya Keno März Toby Collins Anand Malpani Johannes Fallert Hubertus Feußner Stamatia Giannarou Pietro Mascagni
+ PDF Chat	A positive/unlabeled approach for the segmentation of medical sequences using point-wise supervision	2021	Laurent Lejeune Raphael Sznitman
+	CataNet: Predicting remaining cataract surgery duration	2021	Andrés Marafioti Michel Hayoz Mathias Gallardo Pablo Márquez Neila Sébastian Wolf Martin S. Zinkernagel Raphael Sznitman
+	Stereo Correspondence and Reconstruction of Endoscopic Data Challenge	2021	Max Allan A. Jonathan McLeod Cong Cong Wang Jean-Claude Rosenthal Zhenglei Hu Niklas Gard Peter Eisert Ke Fu Trevor Zeffiro Wenyao Xia
+ PDF Chat	CataNet: Predicting Remaining Cataract Surgery Duration	2021	Andrés Marafioti Michel Hayoz Mathias Gallardo Pablo Márquez Neila Sébastian Wolf Martin S. Zinkernagel Raphael Sznitman
+	Data Invariants to Understand Unsupervised Out-of-Distribution Detection	2021	Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila
+	A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision	2021	Laurent Lejeune Raphael Sznitman
+	CataNet: Predicting remaining cataract surgery duration	2021	Andrés Marafioti Michel Hayoz Mathias Gallardo Pablo Márquez Neila Sébastian Wolf Martin S. Zinkernagel Raphael Sznitman
+	Stereo Correspondence and Reconstruction of Endoscopic Data Challenge	2021	Max Allan Jonathan C. Mcleod Congcong Wang Jean Claude Rosenthal Zhenglei Hu Niklas Gard Peter Eisert Ke Fu Trevor Zeffiro Wenyao Xia
+	Surgical Data Science -- from Concepts toward Clinical Translation	2020	Lena Maier‐Hein Matthias Eisenmann Duygu Sarikaya Keno März Toby Collins Anand Malpani Johannes Fallert Hubertus Feußner Stamatia Giannarou Pietro Mascagni
+	Information Content of JWST NIRSpec Transmission Spectra of Warm Neptunes	2020	Andrea Guzmán-Mesa Daniel Kitzmann Chloe Fisher Adam J. Burgasser H. J. Hoeijmakers Pablo Márquez-Neila Simon L. Grimm Avi M. Mandell Raphael Sznitman Kevin Heng
+ PDF Chat	Interpreting High-resolution Spectroscopy of Exoplanets using Cross-correlations and Supervised Machine Learning	2020	Chloe Fisher H. J. Hoeijmakers Daniel Kitzmann Pablo Márquez-Neila Simon L. Grimm Raphael Sznitman Kevin Heng
+ PDF Chat	A Question-Centric Model for Visual Question Answering in Medical Imaging	2020	Minh H. Vu Tommy Löfstedt Tufve Nyholm Raphael Sznitman
+	Surgical Data Science -- from Concepts toward Clinical Translation	2020	Klaus H. Maier‐Hein Matthias Eisenmann Duygu Sarikaya Keno März Toby Collins Anand Malpani Johannes Fallert Hubertus Feußner Stamatia Giannarou Pietro Mascagni
+ PDF Chat	Supervised Machine Learning for Intercomparison of Model Grids of Brown Dwarfs: Application to GJ 570D and the Epsilon Indi B Binary System	2019	Maria Oreshenko Daniel Kitzmann Pablo Márquez-Neila Matej Malik Brendan P. Bowler Adam J. Burgasser Raphael Sznitman Chloe Fisher Kevin Heng
+	Fused Detection of Retinal Biomarkers in OCT Volumes	2019	Thomas Kurmann Pablo Márquez-Neila Siqing Yu Marion R. Munk Sébastian Wolf Raphael Sznitman
+	Deep Multi Label Classification in Affine Subspaces	2019	Thomas Kurmann Pablo Márquez Neila Sébastian Wolf Raphael Sznitman
+ PDF Chat	Geometry in active learning for binary and multi-class image segmentation	2019	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+ PDF Chat	Concept-Centric Visual Turing Tests for Method Validation	2019	Tatiana Fountoukidou Raphael Sznitman
+ PDF Chat	Deep Multi-label Classification in Affine Subspaces	2019	Thomas Kurmann Pablo Márquez-Neila Sébastian Wolf Raphael Sznitman
+ PDF Chat	Fused Detection of Retinal Biomarkers in OCT Volumes	2019	Thomas Kurmann Pablo Márquez-Neila Siqing Yu Marion R. Munk Sébastian Wolf Raphael Sznitman
+	Deep Multi Label Classification in Affine Subspaces	2019	Thomas Kurmann Pablo Márquez Neila Sébastian Wolf Raphael Sznitman
+	Fused Detection of Retinal Biomarkers in OCT Volumes	2019	Thomas Kurmann Pablo Márquez-Neila Siqing Yu Marion R. Munk Sébastian Wolf Raphael Sznitman
+ PDF Chat	Iterative multi-path tracking for video and volume segmentation with sparse point supervision	2018	Laurent Lejeune Jan Grossrieder Raphael Sznitman
+	Iterative multi-path tracking for video and volume segmentation with sparse point supervision	2018	Laurent Lejeune Jan Grossrieder Raphael Sznitman
+ PDF Chat	Supervised machine learning for analysing spectra of exoplanetary atmospheres	2018	Pablo Márquez-Neila Chloe Fisher Raphael Sznitman Kevin Heng
+	Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery	2018	Sebastian Bodenstedt Max Allan Anthony Agustinos Xiaofei Du Luis C. García-Peraza-Herrera Hannes Kenngott Thomas Kurmann Beat P. Müller‐Stich Sébastien Ourselin Daniil Pakhomov
+	Supervised Machine Learning for Analysing Spectra of Exoplanetary Atmospheres	2018	Pablo Márquez-Neila Chloe Fisher Raphael Sznitman Kevin Heng
+	Discovering General-Purpose Active Learning Strategies	2018	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+	Iterative multi-path tracking for video and volume segmentation with sparse point supervision	2018	Laurent Lejeune Jan Grossrieder Raphael Sznitman
+	Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks	2017	Stefanos Apostolopoulos Sandro De Zanet Carlos Ciller Sébastian Wolf Raphael Sznitman
+	Expected exponential loss for gaze-based video and volume ground truth annotation	2017	Laurent Lejeune Mario Christoudias Raphael Sznitman
+	Learning Active Learning from Real and Synthetic Data.	2017	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+ PDF Chat	Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery	2017	Thomas Kurmann Pablo Márquez Neila Xiaofei Du Pascal Fua Danail Stoyanov Sébastian Wolf Raphael Sznitman
+	Learning Active Learning from Data	2017	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+ PDF Chat	Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation	2017	Laurent Lejeune Mario Christoudias Raphael Sznitman
+ PDF Chat	Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks	2017	Stefanos Apostolopoulos Sandro De Zanet Carlos Ciller Sébastian Wolf Raphael Sznitman
+	Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks	2017	Stefanos Apostolopoulos Sandro De Zanet Carlos Ciller Sébastian Wolf Raphael Sznitman
+	Expected exponential loss for gaze-based video and volume ground truth annotation	2017	Laurent Lejeune Mario Christoudias Raphael Sznitman
+	RetiNet: Automatic AMD identification in OCT volumetric data	2016	Stefanos Apostolopoulos Carlos Ciller Sandro I. De Zanet Sébastian Wolf Raphael Sznitman
+	RetiNet: Automatic AMD identification in OCT volumetric data	2016	Stefanos Apostolopoulos Carlos Ciller Sandro I. De Zanet Sébastian Wolf Raphael Sznitman
+ PDF Chat	Active Learning for Delineation of Curvilinear Structures	2016	Agata Mosinska-Domanska Raphael Sznitman Przemysław Głowacki Pascal Fua
+	RetiNet: Automatic AMD identification in OCT volumetric data	2016	Stefanos Apostolopoulos Carlos Ciller Sandro I. De Zanet Sébastian Wolf Raphael Sznitman
+ PDF Chat	Introducing Geometry in Active Learning for Image Segmentation	2015	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+	Introducing Geometry in Active Learning for Image Segmentation	2015	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+	Active Learning for Delineation of Curvilinear Structures	2015	Agata Mosinska Raphael Sznitman Przemysław Głowacki Pascal Fua
+	Introducing Geometry in Active Learning for Image Segmentation	2015	Ksenia Konyushkova Raphael Sznitman Pascal Fua
+ PDF Chat	Multi-Environment Model Estimation for Motility Analysis of Caenorhabditis elegans	2010	Raphael Sznitman Manaswi Gupta Gregory D. Hager Paulo E. Arratia Josué Sznitman
+ PDF Chat	Active Testing for Face Detection and Localization	2010	Raphael Sznitman Bruno Jedynak

Common Coauthors

Coauthor	Papers Together
Pablo Márquez-Neila	34
Sébastian Wolf	22
Lars Doorenbos	15
Martin S. Zinkernagel	11
Thomas Kurmann	11
Pascal Fua	10
Christopher Hahne	9
Pablo Márquez Neila	9
Laurent Lejeune	8
Ksenia Konyushkova	7
Kevin Heng	7
Klaus Schoeffmann	7
Negin Ghamsarian	7
Michel Hayoz	7
Danail Stoyanov	7
Carlos Ciller	6
Stefanos Apostolopoulos	6
Sergio Tascon-Morales	6
Stefanie Speidel	5
Chloe Fisher	5
G. Longo	5
M. Brescia	5
S. Cavuoti	5
O. Torbaniuk	4
Beat P. Müller‐Stich	4
Olivier Couture	4
Mathias Gallardo	4
Gregory D. Hager	4
Martin Wagner	4
Max Allan	4
Lena Maier‐Hein	4
Georges Chabouh	4
Daniel Leff	3
Marion R. Munk	3
Doğu Teber	3
Jan Grossrieder	3
Anand Malpani	3
Pierre Jannin	3
Toby Collins	3
Germain Forestier	3
Johannes Fallert	3
Hannes Kenngott	3
Hirenkumar Nakawala	3
Bernard Gibaud	3
Fei Wu	3
Ron Kikinis	3
Mario Christoudias	3
S. Swaroop Vedula	3
Nassir Navab	3
Kevin Cleary	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	9
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	6
+	A sequential algorithm for training text classifiers	1994	David Lewis William A. Gale	6
+ PDF Chat	Active Testing for Face Detection and Localization	2010	Raphael Sznitman Bruno Jedynak	5
+ PDF Chat	Introducing Geometry in Active Learning for Image Segmentation	2015	Ksenia Konyushkova Raphael Sznitman Pascal Fua	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	5
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	4
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	4
+ PDF Chat	What’s the Point: Semantic Segmentation with Point Supervision	2016	Amy Bearman Olga Russakovsky Vittorio Ferrari Li Fei-Fei	4
+ PDF Chat	Dilated Residual Networks	2017	Fisher Yu Vladlen Koltun Thomas Funkhouser	4
+ PDF Chat	<tt>HELIOS-K</tt>: AN ULTRAFAST, OPEN-SOURCE OPACITY CALCULATOR FOR RADIATIVE TRANSFER	2015	Simon L. Grimm Kevin Heng	4
+ PDF Chat	VQA: Visual Question Answering	2015	Stanislaw Antol Aishwarya Agrawal Jiasen Lu Margaret Mitchell Dhruv Batra C. Lawrence Zitnick Devi Parikh	4
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+ PDF Chat	The theory of transmission spectra revisited: a semi-analytical method for interpreting WFC3 data and an unresolved challenge	2017	Kevin Heng Daniel Kitzmann	3
+ PDF Chat	ExoMol line lists – III. An improved hot rotation-vibration line list for HCN and HNC	2013	R. J. Barber J. K. Strange C. Hill O. L. Polyansky Georg Ch. Mellau S. N. Yurchenko Jonathan Tennyson	3
+ PDF Chat	ATMOSPHERIC RETRIEVAL FOR SUPER-EARTHS: UNIQUELY CONSTRAINING THE ATMOSPHERIC COMPOSITION WITH TRANSMISSION SPECTROSCOPY	2012	Bjoern Benneke Sara Seager	3
+ PDF Chat	MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics	2009	F. Feroz M. P. Hobson M. Bridges	3
+ PDF Chat	DREAMING OF ATMOSPHERES	2016	I. Waldmann	3
+ PDF Chat	A SYSTEMATIC RETRIEVAL ANALYSIS OF SECONDARY ECLIPSE SPECTRA. I. A COMPARISON OF ATMOSPHERIC RETRIEVAL TECHNIQUES	2013	Michael R. Line Aaron S. Wolf Xi Zhang Heather A. Knutson Joshua A. Kammer E. Ellison Pieter Deroo David Crisp Yuk L. Yung	3
+	2017 Robotic Instrument Segmentation Challenge	2019	Max Allan Alex B. Shvets Thomas Kurmann Zichen Zhang Rahul Duggal Yun-Hsuan Su Nicola Rieke Iro Laina Niveditha Kalavakonda Sebastian Bodenstedt	3
+ PDF Chat	Overcoming Data Limitation in Medical Visual Question Answering	2019	B. D. Nguyen Thanh-Toan Do Binh X. Nguyen Tuong Do Erman Tjiputra Quang D. Tran	3
+ PDF Chat	A variationally computed line list for hot NH3	2011	S. N. Yurchenko R. J. Barber Jonathan Tennyson	3
+	2018 Robotic Scene Segmentation Challenge	2020	Max Allan Satoshi Kondo Sebastian Bodenstedt Stefan Leger Rahim Kadkhodamohammadi Imanol Luengo Felix Fuentes Evangello Flouty Ahmed Salih Mohammed Marius Pedersen	3
+ PDF Chat	Supervised machine learning for analysing spectra of exoplanetary atmospheres	2018	Pablo Márquez-Neila Chloe Fisher Raphael Sznitman Kevin Heng	3
+ PDF Chat	Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses	2008	F. Feroz Michael P. Hobson	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	3
+ PDF Chat	RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations	2018	Andru Putra Twinanda Gaurav Yengera Didier Mutter Jacques Marescaux Nicolas Padoy	3
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data	2019	Sebastian Bodenstedt Martin Wagner Lars Mündermann Hannes Kenngott Beat P. Müller‐Stich Michael Breucha Sören Torge Mees Jürgen Weitz Stefanie Speidel	3
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	TAU-REX I: A NEXT GENERATION RETRIEVAL CODE FOR EXOPLANETARY ATMOSPHERES	2015	I. Waldmann G. Tinetti M. Rocchetto Emma J. Barton S. N. Yurchenko Jonathan Tennyson	3
+ PDF Chat	Exoplanet characterization by multi-observatory transit photometry with TESS and CHEOPS	2017	Eric Gaidos Daniel Kitzmann Kevin Heng	2
+	What does it all mean? Capturing Semantics of Surgical Data and Algorithms with Ontologies	2017	Darko Katić Maria Maleshkova Sandy Engelhardt Ivo Wolf Keno März Lena Maier‐Hein Marco Nolden Martin Wagner Hannes Kenngott Beat P. Müller‐Stich	2
+	Learning Active Learning from Real and Synthetic Data.	2017	Ksenia Konyushkova Raphael Sznitman Pascal Fua	2
+ PDF Chat	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery	2017	Thomas Schlegl Philipp Seeböck Sebastian M. Waldstein Ursula Schmidt‐Erfurth Georg Langs	2
+ PDF Chat	Improving Pairwise Ranking for Multi-label Image Classification	2017	Yuncheng Li Yale Song Jiebo Luo	2
+ PDF Chat	Information Content Analysis for Selection of Optimal JWST Observing Modes for Transiting Exoplanet Atmospheres	2017	Natasha E. Batalha Michael R. Line	2
+ PDF Chat	Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering	2017	Yash Goyal Tejas Khot Douglas Summers-Stay Dhruv Batra Devi Parikh	2
+ PDF Chat	Surgical data science for next-generation interventions	2017	Lena Maier‐Hein S. Swaroop Vedula Stefanie Speidel Nassir Navab Ron Kikinis Adrian Park Matthias Eisenmann Hubertus Feußner Germain Forestier Stamatia Giannarou	2
+ PDF Chat	HELIOS–RETRIEVAL: An Open-source, Nested Sampling Atmospheric Retrieval Code; Application to the HR 8799 Exoplanets and Inferred Constraints for Planet Formation	2017	B. Lavie João M. Mendonça C. Mordasini Matej Malik M. Bonnefoy Brice-Olivier Demory Maria Oreshenko Simon L. Grimm D. Ehrenreich Kevin Heng	2
+	Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI	2016	Cristina Gallego-Ortiz Anne L. Martel	2
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	2
+	Photometric redshift estimation via deep learning	2017	Antonio D’Isanto Kai Lars Polsterer	2
+ PDF Chat	A high-accuracy computed water line list	2006	R. J. Barber Jonathan Tennyson G. J. Harris R.N. Tolchenov	2
+ PDF Chat	Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation	2017	Naji Khosravan Haydar Çelik Barış Türkbey Ruida Cheng Evan McCreedy Matthew McAuliffe Sandra Bednarova Elizabeth C. Jones Xinjian Chen Peter L. Choyke	2
+ PDF Chat	Importance Nested Sampling and the MultiNest Algorithm	2019	Farhan Feroz M. P. Hobson Ewan Cameron A. N. Pettitt	2