H. Peter Soyer

30 papers A* 1B 1Misc 3Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Siyuan Yan, Xieji Li, Dan Mo, Philipp Tschandl, Yiwen Jiang, Zhonghua Wang, Ming Hu, Lie Ju, Cristina Vico-Alonso, Yizhen Zheng, Jiahe Liu, Juexiao Zhou, Camilla Chello, Jen G. Cheung, Julien Anriot, Luc Thomas, Clare Primiero, Gin Tan, Aik Beng Ng, Simon See, Xiaoying Tang, Albert Ip, Xiaoyang Liao, Adrian Bowling, Martin Haskett, Shuang Zhao, Monika Janda, H. Peter Soyer, Victoria Mar, Harald Kittler, Zongyuan Ge
2025 J jnl
BMC Medical Informatics Decis. Mak.
Caroline G. Watts, Kirstie G. McLoughlin, Stephen Wade, Amelia K. Smit, H. Peter Soyer, Pablo Fernandez-Penas, David C. Whiteman, Pascale Guitera, Gillian Reyes-Marcelino, Karen Canfell, Anne E. Cust, Michael Caruana
2025 J jnl
npj Digit. Medicine
Nicholas R. Kurtansky, Maura C. Gillis, Noel C. F. Codella, Brian D'Alessandro, Zongyuan Ge, Pascale Guitera, Allan C. Halpern, Harald Kittler, Josep Malvehy, Konstantinos Liopyris, Victoria Mar, Linda K. Martin, Lara Valeska Maul, Alexander Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Nadia Reichman, H. Peter Soyer, Jochen Weber, Siyuan Yan, Veronica Rotemberg, Kivanç Köse
2025 J jnl
CoRR
Xieji Li, Siyuan Yan, Yingsheng Liu, H. Peter Soyer, Monika Janda, Victoria Mar, Zongyuan Ge
2025 J jnl
IEEE Trans. Medical Imaging
Siyuan Yan, Zhen Yu, Chi Liu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge
2025 J jnl
CoRR
Chengbo Zheng, Tim Miller, Alina Bialkowski, H. Peter Soyer, Monika Janda
2025 J jnl
CoRR
Anup Saha, Joseph Adeola, Nuria Ferrera, Adam Mothershaw, Gisele Rezze, Séraphin Gaborit, Brian D'Alessandro, James Hudson, Gyula Szabó, Balázs E. Pataki, Hayat Rajani, Sana Nazari, Hassan Hayat, Clare Primiero, H. Peter Soyer, Josep Malvehy, Rafael García
2024 J jnl
CoRR
Siyuan Yan, Zhen Yu, Clare Primiero, Cristina Vico-Alonso, Zhonghua Wang, Litao Yang, Philipp Tschandl, Ming Hu, Gin Tan, Vincent Tang, Aik Beng Ng, David Powell, C. Paul Bonnington, Simon See, Monika Janda, Victoria Mar, Harald Kittler, H. Peter Soyer, Zongyuan Ge
2024 conf
ISBI
Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2024 J jnl
CoRR
Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023 J jnl
CoRR
Fatima Al Zegair, D. Nathasha U. Naranpanawa, Brigid Betz-Stablein, Monika Janda, H. Peter Soyer, Shekhar S. Chandra
2023 conf
MICCAI (7)
Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023 J jnl
CoRR
Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023 J jnl
CoRR
Deval Mehta, Brigid Betz-Stablein, Toàn D. Nguyên, Yaniv Gal, Adrian Bowling, Martin Haskett, Maithili Sashindranath, C. Paul Bonnington, Victoria Mar, H. Peter Soyer, Zongyuan Ge
2023 Misc conf
DICTA
Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra
2023 A* conf
CVPR
Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023 J jnl
CoRR
Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge
2023 J jnl
CoRR
Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra
2021 Misc conf
DICTA
D. Nathasha U. Naranpanawa, Yanyang Gu, Shekhar S. Chandra, Brigid Betz-Stablein, Richard A. Sturm, H. Peter Soyer, Anders P. Eriksson
2020 J jnl
CoRR
Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer
2018 J jnl
Int. J. Medical Informatics
Alexander Ngoo, Anna Finnane, Erin McMeniman, H. Peter Soyer, Monika Janda
2018 J jnl
J. Digit. Imaging
Liam J. Caffery, David A. Clunie, Clara Curiel-Lewandrowski, Josep Malvehy, H. Peter Soyer, Allan Halpern
2016 J jnl
Sensors
Alireza Mowla, Thomas Taimre, Yah Leng Lim, Karl Bertling, Stephen J. Wilson, Tarl W. Prow, H. Peter Soyer, Aleksandar D. Rakic
2015 Misc conf
DICTA
Samuel C. Hames, Marco Ardigò, H. Peter Soyer, Andrew P. Bradley, Tarl W. Prow
2015 B conf
Image Processing
Samuel C. Hames, Marco Ardigò, H. Peter Soyer, Andrew P. Bradley, Tarl W. Prow
2014 conf
HICSS
Xavier Chadwick, Lois J. Loescher, Monika Janda, H. Peter Soyer
2010 J jnl
CoRR
M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
2009 J jnl
Comput. Medical Imaging Graph.
Azmath Khan, Kapil Gupta, Ronald Joe Stanley, William V. Stoecker, Randy H. Moss, Giuseppe Argenziano, H. Peter Soyer, Harold S. Rabinovitz, Armand B. Cognetta Jr.
2008 J jnl
Comput. Medical Imaging Graph.
M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, H. Peter Soyer
2006 J jnl
Elektrotech. Informationstechnik
Christoph Ebner, Gerald Gabler, Cesare Massone, Rainer Hofmann-Wellenhof, Gian P. Lozzi, Elisabeth Wurm, H. Peter Soyer
redb/extractors/macho_extractors/macho_dylibs.py
← Index redb/extractors/macho_extractors/macho_dylibs.py python
import hashlib
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachODylib


class MachODylibExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_dylibs"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_DYLIB.value

    def _extract_dylibs(self):
        """Extract dynamic library information from all architectures in the MachO binary."""
        self.log.debug(inspect.currentframe().f_code.co_name)
        dylibs = []

        if not self.macho:
            return dylibs

        try:
            # Get architectures using new API (already parsed in base class)
            architectures = self.macho.get_architectures()
            if not architectures:
                return dylibs

            # Process each architecture
            for arch_name in architectures:
                # Get dylib commands using new API with architecture parameter
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Extract dylib commands for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        # Create dylib dataclass with architecture info
                        macho_dylib = MachODylib(
                            dylib_name=dylib_name,
                            dylib_timestamp=dylib_cmd.get('dylib_timestamp', 0),
                            dylib_current_version=dylib_cmd.get('dylib_current_version', 0),
                            dylib_compat_version=dylib_cmd.get('dylib_compat_version', 0),
                        )
                        # Add architecture info to the dylib
                        macho_dylib.architecture = arch_name
                        dylibs.append(macho_dylib)

                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name} in {self.hash.sha256}: {e}'
                        )
                        continue

            return dylibs

        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return dylibs

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            dylibs = self._extract_dylibs()
            return dylibs
        except Exception as e:
            self.log.error(f"Error extracting MachO dylibs: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get dylib commands for this architecture
                dylib_commands = self.macho.get_dylib_commands(arch=arch_name)
                if not dylib_commands:
                    continue

                # Process each dylib for this architecture
                for dylib_cmd in dylib_commands:
                    try:
                        dylib_name = dylib_cmd.get('dylib_name', 'Unknown')
                        if isinstance(dylib_name, bytes):
                            dylib_name = dylib_name.decode('utf-8', errors='replace')

                        data.append([
                            arch_sha256,                          # sha256 (architecture-specific)
                            dylib_name,                           # dylib_name
                            dylib_cmd.get('dylib_timestamp', 0), # dylib_timestamp
                            dylib_cmd.get('dylib_current_version', 0), # dylib_current_version
                            dylib_cmd.get('dylib_compat_version', 0),  # dylib_compat_version
                            current_time,                         # analysis_date
                        ])
                    except Exception as e:
                        self.log.warning(
                            f'Unable to process dylib "{dylib_cmd.get("dylib_name", "Unknown")}" for architecture {arch_name}: {e}'
                        )
                        continue

            column_names = [
                'sha256',
                'dylib_name', 'dylib_timestamp', 'dylib_current_version',
                'dylib_compat_version', 'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'String', 'UInt32', 'UInt32',
                'UInt32', 'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_dylibs"